{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #from PA 5/11/24\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  TN\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use tn_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. TN has 6910840 peeps and is divided into 1965 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 9 9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 95 counties in TN .  I will assign them county Nos 0 - 94\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Building county geom for county 80\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 0 unpopulated coastal tracts.  Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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zzz+PW2+9dcBtnT59GtnZ2YiJiUFxcTHKysqQl5cHADh8+DA8Hg/mzZvnbz9p0iTk5eUNGGpcLhdcLpf/vt1uH+6ualpNSyfaOj1o6nACANITYnB7QfqAlzL7FIF2pwdtnR5Ut3TC7vTAp3QHnr5eJ4QY8Uuj+8ri0qVu0N7fq6/7PW31soR4kx7xMXokmPRIiDEgxiD72yuCY2qIiAbS6fYh1hge6z4Bwwg1x44dQ3FxMZxOJ+Lj47Ft2zYUFhbiwIEDALp7Xn7xi19gxowZeP3111FSUoLjx49j4sSJfW5v1qxZeO2111BQUIC6ujqsW7cOX//613H8+HEkJCSgvr4eRqMRiYmJAa/LyMhAfX19v3WWlZVh3bp1we6eJn3R1IGKmjakxJvQYHPiW1/LBQA4PT5U1LThpnEpmJZjHfL2dLKExFgjEmONo1VySHh8ChwuL9qdXjR3uHH2Yie6PD5/8MlNCp8JpYiIwpHZoIPTEz4L/wYdagoKClBRUQGbzYatW7fioYcewv79+6EoCgDgkUcewXe+8x0AwHXXXYc9e/bglVdeQVlZWZ/bW7x4sf/roqIizJo1C/n5+fh//+//YcWKFcPZJwBAaWkp1qxZ479vt9uRm5s77O1FstzkWJxv7cLsa9Owr7LR//iZxg7cNC4FaQnROW7EoJM1Ec6IiNQSY9DB1uVRuwy/oEON0WjEhAkTAAAzZ87EoUOHsGHDBjz99NMAgMLCwoD2kydPRnV19ZC3n5iYiGuvvRZnzpwBAGRmZsLtdqOtrS2gt6ahoQGZmZn9bsdkMsFkis4368sZdLL/9FBvTR0uTL1m6D00REREvQkIhNPE61c9T42iKHC5XBgzZgyys7NRWVkZ8PypU6eQn58/5O11dHSgqqoKWVlZALqDk8FgwJ49e/xtKisrUV1djeLi4qstP2oIiCvHoYTPVXhERBSB4ox6dLoj9PRTaWkpFi9ejLy8PLS3t2Pz5s3Yt28fdu7cCUmS8OSTT2Lt2rWYPn06ZsyYgU2bNuHkyZPYunWrfxslJSVYunQpVq1aBQD44Q9/iLvvvhv5+fmora3F2rVrodPpcN999wEArFYrVqxYgTVr1iA5ORkWiwXf+973UFxcPOQrnwgwG/RweRX//XCaV4CIiGgkBBVqGhsbsXz5ctTV1cFqtaKoqAg7d+7E/PnzAQBPPPEEnE4nVq9ejZaWFkyfPh27du3C+PHj/duoqqpCc3Oz//758+dx33334eLFi0hLS8Ott96KAwcOIC0tzd/m17/+NWRZxrJly+ByubBw4UL8/ve/v9p9jyomgxwQaqqaHBiXFqdiRUREFOl8Qlwx/YearnqemkgR7fPUlFddxHV5iSivuojbJ6Vjz+cNKJmcoXZZREQUwc42O+DxKWEzTw3XfooSLq8PMQYdTHoZje3OsBrYRUREkelErX1UA02wGGqiTPH4FJxu6MDsiWmDNyYiIupHl9uHpFiD2mUE4Gp9UULpNZPuLRNSVa6GiIgiXYxBhqeP6ULUxJ6aKNDp9iLGED7TWBMRUeTz+AT0YbaUDENNFDhyrg0z85PULoOIiDTEqygMNRR6PiFg0rOnhoiIRk51SydyksNrjTyGmigQJVftExFRCLU6PEiJC6+18xhqiIiIKGiSBITbZ2aGmigQZr9zRESkAdUtnTAbw2toA0NNFEiLN6HR7lS7DCIi0ogutw9Wc3jNUQMw1ESFgswEVDa0q10GERFpxL7KRlyXl6h2GVdgqIkCBp0Mb5hNkERERJHLbNQhPSFG7TKuwFBDREREQTHoZLi8PrXLuAJDTZSQJQk+9tYQEdEIyLCY8GmNTe0yrsBQEyXGpMTi3EWH2mUQEZEGTEhPQKfbq3YZV2CoiRK5SbGoae1SuwwiItKIcOz7Z6iJErIscWZhIiLSNIaaKCJJ4bXwGBERRS63V1G7hCsw1EQR9tQQEdFIMenDL0KEX0VEREQUdoQQUML8KlqGGiIiIhrU/lNN+KCqWe0yBsRQEyU63V6YDeG18BgREUUGIQRaO93o3VETjuM0GWqiRJ3NiUxr+E1pTURE4U0Igb8dq8O8yRk42+zwj8+MN+nQ1ulWubpADDUa1WB3ot3p8d+vvtiJ3KRYFSsiIqJI9MGZi7h1QioSYgy4aVwKjl+ww+NTMDnLgvdOh9fpKL3aBdDI8/gUfHy2FanxRrR2ejBrbDI8PgWyHH5dhUREFL7cXgVunw+JsUYAQEFmAv6wvwonam2QJQnpFpPKFQZiqNGgT6rbcFtBGuJNejg9PpyotWPupHS1yyIiogjzl09rcce0rIDHVtw6Fk0dLugkCZ/Xt6tUWd8YajSoy+NDvKn70MYYdJiZn6RyRUREFIkSYw0wGwMvMtHrZGRZzQCAdEt4jdXkmBoN4iR7RER0tVxeH2Ii7KpZhhoNkiQp7CdIIiKi8PZpjQ1FOVa1ywgKQ40GpcWb0NThUrsMIiKKYO1ODxJiDGqXERSGGg0akxqLqqYOtcsgIqIIVdPS6R+bGUkYajQo1qiHw+VTuwwiIopAQgh8er4Ns8alqF1K0BhqNGpiejxONYTXpXZERBT+vmx2YNo1kTWWpgdDjUaNSY1D9cVOtcsgIqIIU9PaFbEz0DPUaFisURewVAIREdFghBAROwM9Q42G3TQuBR+cuah2GURERCHBUKNhsiwhyxqD3+w5zQn5iIhI8yLvei0KyvTcRMSZdDjf2oXc5Mg8R0pERKHR1umG1RxZc9P0FlRPzcaNG1FUVASLxQKLxYLi4mJs3749oE15eTnmzp2LuLg4WCwWzJ49G11dXf1us6ysDF/72teQkJCA9PR0fOMb30BlZWVAmzlz5kCSpIDbo48+GkzpUS05zoTWTrfaZRARUZirrG9HQWaC2mUMW1ChJicnB+vXr8fhw4fx8ccfY+7cuViyZAlOnDgBoDvQLFq0CAsWLMBHH32EQ4cOYdWqVZDl/r/N/v378fjjj+PAgQPYtWsXPB4PFixYAIfDEdBu5cqVqKur899+/vOfD2N3o5MlRg97l1ftMoiIKMx1eXyINUbuSZygKr/77rsD7j///PPYuHEjDhw4gClTpmD16tX4/ve/j6efftrfpqCgYMBt7tixI+D+a6+9hvT0dBw+fBizZ8/2Px4bG4vMzMxgyqVL9DoZPo6pISIijRv2QGGfz4ctW7bA4XCguLgYjY2NOHjwINLT03HzzTcjIyMDt912G95///2gtmuz2QAAycnJAY+/8cYbSE1NxdSpU1FaWorOzoHnYHG5XLDb7QE3raqzdcHl7X8GYS5uSURE0SDoPqZjx46huLgYTqcT8fHx2LZtGwoLC3HgwAEAwLPPPotf/OIXmDFjBl5//XWUlJTg+PHjmDhx4qDbVhQFTzzxBG655RZMnTrV//j999+P/Px8ZGdn4+jRo3jqqadQWVmJt956q99tlZWVYd26dcHuXkT6rNaOdqcXFrMe7U4v7pyWBb2uO6/+9WgtGuwu3D09S+UqiYgonHl9CnQROj9ND0kEea2v2+1GdXU1bDYbtm7dipdeegn79+9HW1sbbrnlFpSWluJnP/uZv31RURHuvPNOlJWVDbrtxx57DNu3b8f777+PnJycftvt3bsXJSUlOHPmDMaPH99nG5fLBZfrq5Wq7XY7cnNzYbPZYLFYgtjj8PdOZSNuL0gHALi8Puz5vBF3TMtCg92J861dmJmfpHKFREQU7k41tCPOpMc1iWa1Swlgt9thtVqH9P4ddE+N0WjEhAkTAAAzZ87EoUOHsGHDBv84msLCwoD2kydPRnV19aDbXbVqFf7617/i3XffHTDQAMCsWbMAYMBQYzKZYDKZBv2+WtA7V5v0OtyQn4S/H6tDrFGHOZfCDhER0UBq27pw27VpapdxVa56iLOiKHC5XBgzZgyys7OvuBz71KlTWLx4cb+vF0Lge9/7HrZt24Z9+/Zh7Nixg37PiooKAEBWFk+p9CXdEoM7pvFnQ0REwZGkyD79FFSoKS0txeLFi5GXl4f29nZs3rwZ+/btw86dOyFJEp588kmsXbsW06dPx4wZM7Bp0yacPHkSW7du9W+jpKQES5cuxapVqwAAjz/+ODZv3ow///nPSEhIQH19PQDAarXCbDajqqoKmzdvxh133IGUlBQcPXoUq1evxuzZs1FUVDSCP4rIpQgBRYnctTqIiEh9WrikJKhQ09jYiOXLl6Ourg5WqxVFRUXYuXMn5s+fDwB44okn4HQ6sXr1arS0tGD69OnYtWtXwCmiqqoqNDc3++9v3LgRQPcEe729+uqr+Pa3vw2j0Yjdu3fjxRdfhMPhQG5uLpYtW4ZnnnlmuPusOTPzkvHxuVbcODZ58MZERER90MLH4qAHCkeqYAYaRaLdnzVgXmGG2mUQEVEEanG4UdPSiem5iWqXcoVg3r+5oKVGJMUZ0OLgUghERBS8Uw3tuDYjcpdH6MFQoxHX5Sbhk+pWtcsgIqII1OXxwWzUqV3GVWOo0QhZliBE99VkRERE0YihRkOm5Vhx7IJN7TKIiCjCaGGQMMBQoykZlhg02l2DNyQiIrrEpwjIET4/TQ+GGo2xxhpwsYPBhoiIhubcRQfGpMSpXcaIYKjRmBvyk3D4HAcMExHR0NS0diEnKbzWexouhhqNkSQJsUY9nB6f2qUQEVEEUIR2ZqRnqNGgr41NwkdftqhdBhERUUgx1GiQSa+Dwku7iYgoyjDUEBERRal2pwfxpqCWgQxrDDUaZTUb0NbJZROIiKLNhbYu/LniwpDaamV5hB4MNRqVnxKH6pZOtcsgIqIQq6y3IyfJjHqbc9C2dqcXVrMhBFWFBkONRiXFcoFLIqJoJEkSrstNwn8eOIvD51rwy/+pVLukkGGo0SghoJkZIomIaGicHh9MehmyLGHhlEx82dyJGbmJapcVMgw1GqUIAZ1G5h0gIqKBOT0+eH0Kyr+46A8xRTmJ+ObMHMSb9Oh0e694jRYXQGao0SifEGBHDRGR9h344iL+8mkt3j/TjL8frUOsMfBqpjGpcTjbfOUYy/OtXcjVyEzCPRhqNMrh8mnqMj0iIrqSEAIOlxdTsq1obHfh598suqJNWrwJzZetCfh5nR1fNGtnzacefNfTqJP1dlyfl6R2GURENIoOn2vF9NxEpMabUJht6bONJAGXn2g6WW/Hybp23HZt2ugXGULsqdEoe5cXMQad2mUQEdEoaHG48fHZFjTYXUiNNw3avvcs84oikBRrxBPzrh3NElXBUKNBn9a0RdVodyKiaHP4XCtkWcId0zIHbStdNsDyk5pWTL3GCrNRex98GWo0xuHyot7uRKY1Ru1SiIhoFNTbnLDE6HF9XtIVgaU/EoDyqos4dLYFzR3uIfXuRCKOqdEQp8eHPScbcXdRltqlEBHRKPm8zo7bJ6UH9ZqkWCOsZgNkSdLUDMKXY6jRkD2fN+KOqZlDTu5ERBRZXF4f3D4l6NdNj5IhCTz9pBENdifyU2Kh1/GQEhFp1YEvWjCnQFtXLI0kvgNqxOd1dhRm9X05HxERaYPHq8Ck194A35HCUKMhMpdFICLSrEa7E1mJvAhkIAw1GsFxNERE2na6sQMT0xPULiOsMdRohBYXJiMioq+4fQqMer5tD4Q/HSIiIhUoirhiTSa6Ogw1GsHTT0REkeXDqot473TTkNvzr/zgGGqIiIhC7HxrJ7o8PkzNtuJss2PQ9rYuDxJitDtp3khhqCEiIgqxT2tsmF+YgbyUWNTaugZtX1nfjkmZHCQ8GIYajeBAYSKiyPB5nR1TsrvnFTPqZLQ6PIO+xuH2Is7ERQAGw1BDREQUQnW2LoxJjQPQPR4yxsC34pHCnyQREVGIdLq90MuBb71ZVjMOfHFxwNdxkPDQMNRoAE89ERFFhndONqF4fErAY4XZFnS6vf2+xunxcWmEIWKo0QCH24eEGJ5rJSIKZ+1OD5LjjDBctvCw0+O74rHeTnKQ8JAx1GhAVWMH8lPi1C6DiIgGcKqhHQV9hJPP6uyYdo2139e1drqRFGcczdI0I6hQs3HjRhQVFcFiscBisaC4uBjbt28PaFNeXo65c+ciLi4OFosFs2fPRlfXwJer/fu//zvGjBmDmJgYzJo1Cx999FHA806nE48//jhSUlIQHx+PZcuWoaGhIZjSNa2l043UeJPaZRARUT9snR6cb+1Cch/hpMPpRTyvbBoRQYWanJwcrF+/HocPH8bHH3+MuXPnYsmSJThx4gSA7kCzaNEiLFiwAB999BEOHTqEVatWQZb7/zZ/+tOfsGbNGqxduxZHjhzB9OnTsXDhQjQ2NvrbrF69Gn/5y1/w5ptvYv/+/aitrcU999wzzF3WHg4gIyIKb28frcU/TM/u8zlFCOgHOP3Ev/FBEFcpKSlJvPTSS0IIIWbNmiWeeeaZoF5/4403iscff9x/3+fziezsbFFWViaEEKKtrU0YDAbx5ptv+tt8/vnnAoAoLy8f8vex2WwCgLDZbEHVFwneOdmgdglERNSP2rZO8eeKC/0+v/fz/v+Gd7m94oPTTaNRVsQI5v172GNqfD4ftmzZAofDgeLiYjQ2NuLgwYNIT0/HzTffjIyMDNx22214//33+92G2+3G4cOHMW/ePP9jsixj3rx5KC8vBwAcPnwYHo8noM2kSZOQl5fnb9MXl8sFu90ecNOas80O7KtshNnAUfFEROGo3uZERXUbFk/N7LfNQEv3HfyyBTeMSR6FyrQp6FBz7NgxxMfHw2Qy4dFHH8W2bdtQWFiIL774AgDw7LPPYuXKldixYweuv/56lJSU4PTp031uq7m5GT6fDxkZGQGPZ2RkoL6+HgBQX18Po9GIxMTEftv0paysDFar1X/Lzc0NdlfDXrvTi6nXWDFrXMrgjYmIKORO1tuxaGrmgFc39cfjU9DW6YZRz2t6hiron1RBQQEqKipw8OBBPPbYY3jooYfw2WefQVEUAMAjjzyC73znO7juuuvw61//GgUFBXjllVdGvPDBlJaWwmaz+W81NTUhr2G0Tc5KwGe12uuBIiLSCiG6Zw0eiMfX91xjxy7YMHti2miUpVlBD7c2Go2YMGECAGDmzJk4dOgQNmzYgKeffhoAUFhYGNB+8uTJqK6u7nNbqamp0Ol0V1zJ1NDQgMzM7q66zMxMuN1utLW1BfTW9G7TF5PJBJNJ21cE6XUyFE68R0QUtgbJMwAAva7vRq0ON67PSxrhirTtqvu0FEWBy+XCmDFjkJ2djcrKyoDnT506hfz8/D5fazQaMXPmTOzZsydge3v27EFxcTGA7uBkMBgC2lRWVqK6utrfJpox0hARRba+Io1PEdDJvO4pWEH11JSWlmLx4sXIy8tDe3s7Nm/ejH379mHnzp2QJAlPPvkk1q5di+nTp2PGjBnYtGkTTp48ia1bt/q3UVJSgqVLl2LVqlUAgDVr1uChhx7CDTfcgBtvvBEvvvgiHA4HvvOd7wAArFYrVqxYgTVr1iA5ORkWiwXf+973UFxcjJtuumkEfxSRib/yREThq93Z//IHA/nLp7W47VqeegpWUKGmsbERy5cvR11dHaxWK4qKirBz507Mnz8fAPDEE0/A6XRi9erVaGlpwfTp07Fr1y6MHz/ev42qqio0Nzf77/+v//W/0NTUhJ/85Ceor6/HjBkzsGPHjoDBw7/+9a8hyzKWLVsGl8uFhQsX4ve///3V7rsmDHauloiI1BNr1MHp8SEmiKtU3/60FpOyEjiL8DBIQkTHoAy73Q6r1QqbzQaLxaJ2OSNmX2Uj5hSkq10GERH1Yc/nDSiZnDFgm78erYVBJ+NrY5LRYHfCpJcxLi0+RBWGv2Devzkvc4RThIDXpww4GyUREaljKONi7pyWBQDYd6oJEMDtk/hBdbj4ThjhbhqXgvIvLqpdBhERDZMkSZAkCQ6XFxcdbrXLiWjsqYlwsUY9nB6FI+WJiFT25sc1mJxlwaTMBOh1Mjw+BZ1u35Bff1dRNhyu4Q0spm7sqdGAWyek4t3TTWqXQUQUtfafasL1+Ulod3rx3unui2Eqatpw68TUoLYTx9W6rwpDjQaYjd2j6t1eReVKiIii1/i0eBSPT4G4NINYu9MDS4xB5aqiC0ONRhSPS8GHVc2DNyQiohF3+YXEQghOuaEChhqNiDHoIEkSuoI4f0tERFfvbLMjYHb3mXnJ2HeqCTJDTcgx1GjITeOScfhcq9plEBFFlf2nmqDvdaGGNdaAL5sciDcNfcI9GhkMNRpi0uvgi465FImIwkZeSiy+ftlq2pOyEjAzP1mliqIXQ43GRMkE0UREYaOv00w3jw/uqicaGQw1EeztT2tx7LxN7TKIiKJaotmAFk6aFxYYaiLU+dZOXJsRj3q7Ez7lq94ZjrYnIgqtnCQzLrR2qV0GgaEmYp1qaEdBRgJuHJuMI9UcHExEpJbkOCMuOlxql0FgqIlokiTBajbA3uXxP8YxNUREocUe8vDBUBOBWhxuJMeZ/PcNOtk/mzD/cxERhR4/ToYHhpoIVFnfjkmZCf77N4xJwsfnWgAAisL/WkREoaQoAvw4GR4YaiKQ26cgxvDVpE6xRj263D402p1IiTeqWBkRUfSRZQlfNjvULoPAUBOR+ho3k2GJwbunmzHtGqsKFRERRbcxqXFql0AAuMa5Rky9xoqpDDRERCF3otbG1bjDBHtqiIiIrkJNSydm5iepXQaBoSYi5STF8vwtEVGY6D3GkdTFUBOBJqTH40StDV6fonYpREREYYOhJkLNm5yBvx+v52R7RERElzDURKgYgw5zCtKw/Xi92qUQERGFBYaaCGaJMeCGMUkor7qodilERFHJ6fGhy+1Tuwy6hKEmwqUnxKDD5VW7DCKiqFRedRELpmSqXQZdwlCjAUY9DyMRkRokCdDJXCQhXPDdUAOEEBwwTEQUYk6PD412l9plUC8MNRqgCMHVuYmIQux0QwfmTk5XuwzqhaEmwnX30qhdBRFR9Gl2uJAab1K7DOqFoSYCfdHUgTc/roHXp+BIdRtm5CaqXRIRUdRh/3j4YaiJQKcaOvAPM7Lx1pELaGp3IoWfFIiIiLhKd6S50NaFvORYmPQ6/MOMbLXLISIiChvsqYkwJ+vsmJyVAKB7VmEupEZEpA5eoBF+GGoijE6W+B+JiChEnB4f/nSoGntPNsDt/WoR4TON7Ygz8kNluGGoISIi6sfBL1uwoDAT+Slx+NPHNf4lEapbOnHDmGSVq6PLMdREGPbSEBGFjsvjQ1KcEePT4nHv13Lx7++cgcPlhV7m22c44lEhIiLqQ0VNG8amxvnvG3QyHr99Al5670vcOJa9NOEoqFCzceNGFBUVwWKxwGKxoLi4GNu3b/c/P2fOHEiSFHB79NFHB9zm5e17bi+88IK/zZgxY654fv369UHuqjZwOQQiotF37qIDti4PJmYkBDxuNurwg3kTeZFGmArqku6cnBysX78eEydOhBACmzZtwpIlS/DJJ59gypQpAICVK1fiueee878mNjZ2wG3W1dUF3N++fTtWrFiBZcuWBTz+3HPPYeXKlf77CQmBv2hERERX68tmB07W2aHXybhlQora5VCQggo1d999d8D9559/Hhs3bsSBAwf8oSY2NhaZmUNfhv3ytn/+859x++23Y9y4cQGPJyQkBLXdSHfwi4u4cWwyhOhe20mv6+5UY0cNEdHoOXfRgcXTstQug4Zp2GNqfD4ftmzZAofDgeLiYv/jb7zxBlJTUzF16lSUlpais7NzyNtsaGjA3/72N6xYseKK59avX4+UlBRcd911eOGFF+D1egfclsvlgt1uD7hFCq9PwRfNDhypbsXbn9bib8e6e7O+bHYgN9mscnVEREThKegZhY8dO4bi4mI4nU7Ex8dj27ZtKCwsBADcf//9yM/PR3Z2No4ePYqnnnoKlZWVeOutt4a07U2bNiEhIQH33HNPwOPf//73cf311yM5ORkffvghSktLUVdXh1/96lf9bqusrAzr1q0LdvfCwvtnmrH0umtwpLoVdxVl4f0zzQCAyvp2LJoaPb1VREShprA7PKJJIsiRp263G9XV1bDZbNi6dSteeukl7N+/3x9setu7dy9KSkpw5swZjB8/ftBtT5o0CfPnz8dvf/vbAdu98soreOSRR9DR0QGTqe91j1wuF1wul/++3W5Hbm4ubDYbLBbLoLWoae/JBsydlOG//0l1Ky60daHomkTkpQw8RomIiIanucOFmpZOXJeXpHYp1IvdbofVah3S+3fQPTVGoxETJkwAAMycOROHDh3Chg0b8Ic//OGKtrNmzQKAIYWa9957D5WVlfjTn/40aA2zZs2C1+vF2bNnUVBQ0Gcbk8nUb+AJZ/U2JzItgaeYrstLwrUZCYgzcakuIqLRcrKunZdqR7irnqdGUZSAHpHeKioqAABZWYMPunr55Zcxc+ZMTJ8+fdC2FRUVkGUZ6enpQdUaCY5dsPnXduqNgYaIaHR5FAVGPadvi2RBvVOWlpZi8eLFyMvLQ3t7OzZv3ox9+/Zh586dqKqqwubNm3HHHXcgJSUFR48exerVqzF79mwUFRX5tzFp0iSUlZVh6dKl/sfsdjvefPNN/PKXv7zie5aXl+PgwYO4/fbbkZCQgPLycqxevRoPPvggkpK01UUohIBO5qzBRESh4vUp0OtkKIqA18fxNJEuqFDT2NiI5cuXo66uDlarFUVFRdi5cyfmz5+Pmpoa7N69Gy+++CIcDgdyc3OxbNkyPPPMMwHbqKyshM1mC3hsy5YtEELgvvvuu+J7mkwmbNmyBc8++yxcLhfGjh2L1atXY82aNcPY3fDm9imc0ImIKIR2nmiATpbQ2unGkhnZapdDVynogcKRKpiBRmpRFIEPqprx9YlpapdCRKR5Lq8PH5xpDrgwg8JPMO/fPHkYRmRZgk+JioxJRKS6C61dGJ8Wr3YZNIIYasIMx9MQEYVGQowB7c6BJ3KlyMJQQ0REUelCWxeuSeQs7VrCUENERFEpxiDD5VXULoNGEENNmImScdtERKqzd3kRH8M5wLSEoYaIiKJSU7sL8ZzYVFMYaoiIKOo4PT4kxRnULoNGGENNGOIpKCKi0fVpTRsKMq5ckoYiG0NNmLkm0Yxam1PtMoiINEsIgcZ2F1LiI2/RYxoYQ02YGZsahy+aOvz336lsxIdVzSpWRESkLS0ON/JTYtUug0YBQ02Y0etk/6JqiiIAAbg8vOSQiOhqCCHwy/+pxKGzLWjucCOVvTSaxFAThnSyhC63D6cbO1CQmQBOMkxEdHU+qWnDfTfmwd7lQVVTB9ITGGq0iKEmDN0yIRX/81k9TjW0I5uzXRIRXTVblwfZiWZMz01EarwJeh3f/rSIF+iHIZ0s4fZJ6f7TTlwPiohoZKTGm3jqScMYasKUJcYAxHR/zUu8iYiuDv+ORgf2vxERkaYdPteKeBMn2osGDDVhzutT4FP4CYOIaDiaO1zocHlx49hktUuhEGCoCXPvnW7GLRNS1S6DiCgifdnswA35SWqXQSHCUBPGvD4FihCIMejULoWIKCK1OtyI46KVUYNHOkx9Ut0Ku9OL4vEpapdCRBSRqpo6kJvMmYOjCXtqwlC704PmDjfSE0yINTJ3EhEFw+1VcLLejsr6dkzOsqhdDoUQ3zHD0Punm7FwSiZkmfPTEBEF69iFNsQYdJh9bZrapVCIMdSEmcr6dhRkJjDQEBENk73Li5n5vNopGvH0U5i50NaJcWnxapdBRBSxFE60F7UYasKMzCURiIiGzdbp4dVOUYyhhoiINOPjcy2YxYn2ohZDDRERaQoXAY5eDDVERBRRXnrvCzTYnX0+p+NFFlGNoYaIiMKWEAI+RUC5tAbeZ7V2XJeXhBO1tivaNrY7kRpvCnWJFEY4moqIiMKOx6dAJ0l46f0vYIkxIMagQ4vDjU63F6vmTsQ7lY1o7nAhIUYPt1eBSa/DJ9VtKJmUrnbppCKGmjDQ6nDD5VWQaY1RuxQiIlV5fQr+9HENvmhyYGxqHJbMuAYZlu6/jT5F+E8vJZoN2H68HlazAcmxRlxo68T4tHjodTwBEc0kIaLjgn673Q6r1QqbzQaLJXymzf6y2YGTdXYAwPzCDJxu7EC8Sc/1SogoKn1eZ0dSrBFWswFmIxfzpeDevxlpVeT2Kqhq7MDiaVmYfW0aDn7ZgslZFhypbkWn26t2eUREIXehtQsZFhMDDQ0LQ42Kzl10YHJ2d+qMM+nR5fYBAO6cloX9lU1qlkZEFHJOjw+yzEuyafgYalRUa3Miy/LVOJrsRDNq27qg18mI5YyYRBRl9nzeiK9P5CKUNHwMNSoSQgQsXDk5KwGnGtoBAO+eYk8NEUUPIQTMRhkGDvSlq8DfnjDSu8v1zqIstHW6VayGiCh0vmh2YGwqF/Olq8NQE0Y8PgXGS59SkmONaOv0qFwREVFoVDV2YGxqnNplUITjwI0wIgTguDRYuMPl9c/NQESkRc0dLpxp7ECLw43puYlql0MaEFRPzcaNG1FUVASLxQKLxYLi4mJs377d//ycOXMgSVLA7dFHHx1wm9/+9reveM2iRYsC2rS0tOCBBx6AxWJBYmIiVqxYgY6OjmBKD0uXj/A36mVkWWNQ1dSB5g4XUuONKlVGRDT6Pqy6iGsSzZiRm4hrEs1ql0MaEFRPTU5ODtavX4+JEydCCIFNmzZhyZIl+OSTTzBlyhQAwMqVK/Hcc8/5XxMbO/gkcosWLcKrr77qv28yBa7d8cADD6Curg67du2Cx+PBd77zHTz88MPYvHlzMOVHhKnXWLH7swYoQvCyRiLSLKfHh9R4IycapREVVKi5++67A+4///zz2LhxIw4cOOAPNbGxscjMzAyqCJPJ1O9rPv/8c+zYsQOHDh3CDTfcAAD47W9/izvuuAO/+MUvkJ2dHdT3Cif9TeY8rzAjxJUQEYXW0fM2FOUkql0GacywBwr7fD5s2bIFDocDxcXF/sffeOMNpKamYurUqSgtLUVnZ+eg29q3bx/S09NRUFCAxx57DBcvXvQ/V15ejsTERH+gAYB58+ZBlmUcPHiw3226XC7Y7faAW7hhTwwRRSuHy4t4zsdFIyzo36hjx46huLgYTqcT8fHx2LZtGwoLCwEA999/P/Lz85GdnY2jR4/iqaeeQmVlJd56661+t7do0SLcc889GDt2LKqqqvCv//qvWLx4McrLy6HT6VBfX4/09MBVV/V6PZKTk1FfX9/vdsvKyrBu3bpgdy+komTZLSKiK/EzHY2CoENNQUEBKioqYLPZsHXrVjz00EPYv38/CgsL8fDDD/vbTZs2DVlZWSgpKUFVVRXGjx/f5/buvffegNcUFRVh/Pjx2LdvH0pKSoaxS91KS0uxZs0a/3273Y7c3Nxhb280MNIQERGNnKBPPxmNRkyYMAEzZ85EWVkZpk+fjg0bNvTZdtasWQCAM2fODHn748aNQ2pqqv81mZmZaGxsDGjj9XrR0tIy4Ngdk8nkv0qr5xZuEkx6tDs5Fw0RRRe708NTTzQqrnryPUVR4HK5+nyuoqICAJCVlTXk7Z0/fx4XL170v6a4uBhtbW04fPiwv83evXuhKIo/NEWqKdlWHD1vU7sMIqKQ+qzWjinZ4fdBkyJfUKGmtLQU7777Ls6ePYtjx46htLQU+/btwwMPPICqqir89Kc/xeHDh3H27Fm8/fbbWL58OWbPno2ioiL/NiZNmoRt27YBADo6OvDkk0/iwIEDOHv2LPbs2YMlS5ZgwoQJWLhwIQBg8uTJWLRoEVauXImPPvoIH3zwAVatWoV777034q58EkLg7U9r8V+Hz0NRBMxGnX9lbiKiaNHp9iLWyJ4aGnlB/VY1NjZi+fLlqKurg9VqRVFREXbu3In58+ejpqYGu3fvxosvvgiHw4Hc3FwsW7YMzzzzTMA2KisrYbN1907odDocPXoUmzZtQltbG7Kzs7FgwQL89Kc/DZir5o033sCqVatQUlICWZaxbNky/OY3vxmB3Q+t040dmJGTiBiDjM/q7Jh6jRVJcUbYOj2wxhrULo+IaNS9c7IRSbGcWJRGhySi5BIcu90Oq9UKm82m2viad0424vZJ6QFfd7l9qKhpQ/H4FFVqIiIKFZ8i8O6pJv/fQaKhCOb9mwtahlDvaWl6vjYbdXB5eQqKiLTvkf88jKIcq9plkIYx1IQBTsJHRFp3uqEd37llDFLiTYM3JhomhpowECVnAIkoin3R7MD1eUlql0Eax1BDRESjSgiBncfrYTbq1C6FNI6hJkTsTg9iDN3/oZ0eH0z6r/5z8/QTEWnZmx+fxz99fZzaZVAUYKgJkQNVF3HjmGQA3aEmlp9YiChKGPUyCjnZHoUAQ00ItHW6YTEbIMvdPTKxRj06XF7/8wrH1BCRhvX87SMabQw1IXDwyxbMGpvsv2/Uy/D4FP99r4+hhoi0SQiBhBjOHkyhwVAzynyKgFEvXzFupifGfFZrx7i0uNAXRkQUAlVNHRifGq92GRQlGGpGWYfTi0SzAUIIKEqvHhkB2Do9aLA7MT6N/+GJSJtqWrqQlxKrdhkUJRhqRllblxuJsUZ8WHURfztWh6b27hXNBQTKv2jGnII0lSskIhodzR0udHLRXgohhppR1uJwIznOCLdPwV1FWThe272Yp9OjwGI28HJuItIsgywjKzFG7TIoijDUjDK70wtLjB4SLs1H0+sMlKL0+zIioohnMeth6/SoXQZFEYaaEOjdG2PUy+hyd89TY+vif3Yi0i72RFOoMdSE2KyxyTjwxUWMTY1Dvd2pdjlERKPK6eGYGgodhppRdvlilXqdDAGBvORYfPvmMeoURUQUIrEmzlFDocPftlEmxJXBRpYkSJIEHXtmiYiIRgxDzSiblmPFfx25oHYZRESquPxDHdFoYqgZZanxJtxVlIXe/685eI6IiGjkMdSEQIwhcEVuLmBJRNGCf+8olDhQWAXspyGiaODxKZDZM00hxFATYh6fAr3MHzsRad+Rc624LjdJ7TIoivDdNcQa211It5jULoOIaNQ1dbhgjTWoXQZFEYaaEGtudyEtnqGGiLQvnnPUUIgx1IRYW5cHVjM/uRAREY00hpoQE0JAljlwjoi0z+vjlU8UWgw1REQ0KvScNp1CjKGGiIiINIGhJsQ4mzAREdHoYKghIqJRwRE1FGoMNURENCpcHp/aJVCUYagJASEE3F4Fn1S3wsArn4goSqTGm9Du9KhdBkURzowUAvsqm9DU7sK1mQkoHp+idjlERCFhNRvQ7vQiIYZzc1FoMNSEgCQB3/partplEBGFVLvLi1TOoE4hxNNPREQ0KprbXUiKM6pdBkURhhoiIhpxiiJg1PMthkKLv3GjTAhe1EhE0efLiw6MS41XuwyKMgw1o4yT7RFRNPqiyYHcZLPaZVCUCSrUbNy4EUVFRbBYLLBYLCguLsb27dv9z8+ZMweSJAXcHn300X635/F48NRTT2HatGmIi4tDdnY2li9fjtra2oB2Y8aMuWK769evD3JXiYhoJJyotQ2pF5of6ijUgrr6KScnB+vXr8fEiRMhhMCmTZuwZMkSfPLJJ5gyZQoAYOXKlXjuuef8r4mNje13e52dnThy5Ah+/OMfY/r06WhtbcUPfvAD/MM//AM+/vjjgLbPPfccVq5c6b+fkJAQTOlERDQCfIrAkXOtcHoUzMxP6rPN3pMN/T5HNJqCCjV33313wP3nn38eGzduxIEDB/yhJjY2FpmZmUPantVqxa5duwIe+93vfocbb7wR1dXVyMvL8z+ekJAw5O2GG0mS4FMEdJx4j4gi3Kfn23BXUTYqzrf1+fzZZgeyrGYk86onUsGwx9T4fD5s2bIFDocDxcXF/sffeOMNpKamYurUqSgtLUVnZ2dQ27XZbJAkCYmJiQGPr1+/HikpKbjuuuvwwgsvwOv1Drf0kJt2jRV7TzZi54l6HKluVbscIqJhs3V6kBRnhHzZqSUhBIQQ+PKiA+PTOECY1BH05HvHjh1DcXExnE4n4uPjsW3bNhQWFgIA7r//fuTn5yM7OxtHjx7FU089hcrKSrz11ltD2rbT6cRTTz2F++67DxaLxf/497//fVx//fVITk7Ghx9+iNLSUtTV1eFXv/pVv9tyuVxwuVz++3a7PdhdHTHJcUZMz7EiJd6Ed083ocvtg9moU60eIqLhcHp8kPvpcd53qgnvnGzErLEpvJSbVCOJIK85drvdqK6uhs1mw9atW/HSSy9h//79/mDT2969e1FSUoIzZ85g/PjxA27X4/Fg2bJlOH/+PPbt2xcQai73yiuv4JFHHkFHRwdMpr5nq3z22Wexbt26Kx632WwDbnu0OVxeHL9gw6xxXC6BiCLLO5WN+PqEVOh1Mt6pbERSrBF/P1aHyVkJqLe58MjscXB5FX5ooxFlt9thtVqH9P4ddJw2Go2YMGECZs6cibKyMkyfPh0bNmzos+2sWbMAAGfOnBlwmx6PB9/61rdw7tw57Nq1a9CiZ82aBa/Xi7Nnz/bbprS0FDabzX+rqakZeMdCJM6kRxdXriWiCOTzCeh13W8btxek49xFB/5lYQGWXpeDG8YkQZYlBhpS1VWv/aQoSsBpnt4qKioAAFlZWf2+vifQnD59Gu+88w5SUgbvwaioqIAsy0hPT++3jclk6rcXR22cjo+IIk1lfTsmZgSOlVky4xr/118bkxzqkoiuEFSoKS0txeLFi5GXl4f29nZs3rwZ+/btw86dO1FVVYXNmzfjjjvuQEpKCo4ePYrVq1dj9uzZKCoq8m9j0qRJKCsrw9KlS+HxePDNb34TR44cwV//+lf4fD7U19cDAJKTk2E0GlFeXo6DBw/i9ttvR0JCAsrLy7F69Wo8+OCDSEriJYNERKFwvrUTJZMz1C6DaEBBhZrGxkYsX74cdXV1sFqtKCoqws6dOzF//nzU1NRg9+7dePHFF+FwOJCbm4tly5bhmWeeCdhGZWUlbDYbAODChQt4++23AQAzZswIaPfOO+9gzpw5MJlM2LJlC5599lm4XC6MHTsWq1evxpo1a65it9UloXtdlP4G3BERhROnx4dam1PtMogGFfRA4UgVzECj0Xa6oR1mow45Sf1PTEhEFC5aHW7UtHaiKCdR7VIoCo3qQGG6ej4hEB1Rkoi0wOVVeJk2RQT+lqrgZ38/iQxLjNplEBENidurwKTnVU0U/hhqQszjU/DI7HH81ENEEcPl9fFvFkUE/paGUFO7CzuO1yPTyl4aIoocTo+CGIYaigD8LQ2hz+rsiI/R45pEs9qlEBENmdPrQ4yBp58o/F315Hs0dEIIzLk2DZLES7mJKHI4PQw1FBnYUxNCWVYzzrd2qV0GEVFQFAHoOK8WRQCGmhAqyEzAmaYOtcsgIiLSJIaaUOP8NERERKOCoSbEjHoZDpdX7TKIiIg0h6EmxG4al4IPqy6qXQYREZHmMNSEmE6WYInRo9HOxeGIiIhGEkONCmaNS8GxCza1yyAiItIUhhqVyLw8koiIaEQx1KiEkYaIiGhkMdSohFd2ExERjSyGmhBwexV8cKZZ7TKIiIg0jaEmBD6oakZ2ohmHz7UCAOxOD+KMXHaLiIhoJDHUjDIhBHw+gbGpcXC4vGjrdKOiug3X5SWqXRoREZGmMNSMsqqmDhRkJgAAvj4xFe+faYbbq8Cg44+eiIhoJPEcyCirbXPi1gmpAABJknBXUbbKFREREWkTuwtGmSIE56QhIiIKAYYaIiIi0gSGGiIiItIEhhoiIiLSBIaaUSZJHE9DRJFLCM5/TpGDoYaIiPrl8iowcgoKihD8TR1l/JRDRJHM5VEQY+BbBUUG/qaOMp5+IqJI5vT6EGPQqV0G0ZAw1BARUb+cHh/MDDUUIRhqiIioX10e9tRQ5GCoGWUcU0NEkczJMTUUQfibSkRE/XKyp4YiCEMNERH1y+VVYNLzrYIiA39TR0htWxc+r7PD61P8j9mdHsSZuBA6EUU2XsVJkYKhZoRU1rcjKdaId083+R87WmNDUY5VxaqIiIiiB0PNCJEkINMaA7dX4J2TjVAUAY9PgUnPc9FEREShwHMjI2zR1Ex0ur3467E6xJsYaIiIiEKFoWYEOD2+gB6ZWKMe8yanQ+Z5aCIiopAJ6vTTxo0bUVRUBIvFAovFguLiYmzfvt3//Jw5cyBJUsDt0UcfHXCbQgj85Cc/QVZWFsxmM+bNm4fTp08HtGlpacEDDzwAi8WCxMRErFixAh0dHcGUPqqaO1xISzAGPBZr1PMySCIiohAKKtTk5ORg/fr1OHz4MD7++GPMnTsXS5YswYkTJ/xtVq5cibq6Ov/t5z//+YDb/PnPf47f/OY3+I//+A8cPHgQcXFxWLhwIZxOp7/NAw88gBMnTmDXrl3461//infffRcPP/xwkLs6ehwuH2KN7PQiIu3hBKIUSSRxlb+xycnJeOGFF7BixQrMmTMHM2bMwIsvvjik1wohkJ2djX/+53/GD3/4QwCAzWZDRkYGXnvtNdx77734/PPPUVhYiEOHDuGGG24AAOzYsQN33HEHzp8/j+zs7CF9L7vdDqvVCpvNBovFMqx97c/+U034+oRUyDJPN0WSvScboJODHytvkCUY9fJXN91XX5t0Ov/XOv4+kAbsq2zEnIJ0tcugKBbM+/ewuxd8Ph/efPNNOBwOFBcX+x9/44038Mc//hGZmZm4++678eMf/xixsbF9buPLL79EfX095s2b53/MarVi1qxZKC8vx7333ovy8nIkJib6Aw0AzJs3D7Is4+DBg1i6dGmf23a5XHC5XP77drt9uLs6JAw0kUcny7jt2rSgXiOEgMcn4PYpcHu/ujk9Pti6PF895lOgDOHjQu/PFD1zgQghAuYF6WnT85hOkmAx62E1G5AYa4QlRs95RGjU8HeLIknQoebYsWMoLi6G0+lEfHw8tm3bhsLCQgDA/fffj/z8fGRnZ+Po0aN46qmnUFlZibfeeqvPbdXX1wMAMjIyAh7PyMjwP1dfX4/09MBPCXq9HsnJyf42fSkrK8O6deuC3b1hkSXgwzPNMBlkmPQ6mPSX/jXI/q+NehmyBAgBKEJAEYCAQM97miQBsiRdug3tD4miCLR1eSCEgE6WAm9S97+j9QdJCBGwL0qv+z37I0GCJHU/1uX2+d/kBfxf9Hzl/zn0/pmIy75X4Pf/ajtCBLbtee1Xrwls1/PapnYXgiVJEoz67p4amIJ++Yjw+BS0O72wdXlQ1dSBdqc34PnLO18lSYIQAmaDDklxRiTGGpAUa4RBxxkdiEhbgg41BQUFqKiogM1mw9atW/HQQw9h//79KCwsDBjnMm3aNGRlZaGkpARVVVUYP378iBY+mNLSUqxZs8Z/3263Izc3d1S+160TUv2f3l0eH1xeBS6vgtZON1we5dL97jd1+VJ4kYBLg6m7tyFE95uRPyDgyk/swJWf7BPNBuhkCV5FwHf5bZTPhfv3pVcgu3x/BLqfMxt03UHn0vPdPwH0/5h/H/1726tdz3OS/2v5UohCrxp6v77n5yjhqwA5f3JgmI4UBp2M5DgjkuOMGIu4Ib+uy+1Da6cbTe0unG7ogOfS7Nc9vyW9f65D6UG6XE+41ssyDDoJ+kuhyaco8PoEnF6l39fpZRlmY/cHgBhD9wcDvS5wWwadBIMss1eUiPoVdKgxGo2YMGECAGDmzJk4dOgQNmzYgD/84Q9XtJ01axYA4MyZM32GmszMTABAQ0MDsrKy/I83NDRgxowZ/jaNjY0Br/N6vWhpafG/vi8mkwkmU2g+Svf+9B7PZREoTJmNOpiNZmQnmkfte/guTTrp8XUHGUmCP+jEGOR+Q5HXp8DpVdDl9sHp8cHtU9Dp7t6WVxHw+hR4fN33+wv8l+srmA0kzqhDYqwBVrMRVrOhuzfuKri9CmxdHlx0uODxCrh93R943F7litOLA93vrec5RQj/B6Oex3sMFjwH0tf2EmON/TUnCjtX/Q6sKErA2JXeKioqACAgsPQ2duxYZGZmYs+ePf4QY7fbcfDgQTz22GMAgOLiYrS1teHw4cOYOXMmAGDv3r1QFMUfmogoPHSf/tQFPZ2BXicjXqfehwIhBBxuH9o63Whsd+J0Qzs8vQZF9XVKr7/nehh1MixmA1LjTTDouj/0mPQ6GHSjd1qYKNoF9RektLQUixcvRl5eHtrb27F582bs27cPO3fuRFVVFTZv3ow77rgDKSkpOHr0KFavXo3Zs2ejqKjIv41JkyahrKwMS5cuhSRJeOKJJ/Bv//ZvmDhxIsaOHYsf//jHyM7Oxje+8Q0AwOTJk7Fo0SKsXLkS//Ef/wGPx4NVq1bh3nvvHfKVT0REA5EkCfEmPeJNeuQkqV0NEQ1XUKGmsbERy5cvR11dHaxWK4qKirBz507Mnz8fNTU12L17N1588UU4HA7k5uZi2bJleOaZZwK2UVlZCZvN5r//L//yL3A4HHj44YfR1taGW2+9FTt27EBMTIy/zRtvvIFVq1ahpKQEsixj2bJl+M1vfnOVu05ERERactXz1ESK0ZynhoiIiEZHMO/fvKaTiIiINIGhhoiIiDSBoYaIiIg0gaGGiIiINIGhhoiIiDSBoYaIiIg0gaGGiIiINIGhhoiIiDSBoYaIiIg0gaGGiIiINIGhhoiIiDSBoYaIiIg0IahVuiNZz7qddrtd5UqIiIhoqHret4ey/nbUhJr29nYAQG5ursqVEBERUbDa29thtVoHbCOJoUQfDVAUBbW1tUhISIAkSWqXE8ButyM3Nxc1NTWDLqtOocfjE954fMIbj094i4TjI4RAe3s7srOzIcsDj5qJmp4aWZaRk5OjdhkDslgsYftLRTw+4Y7HJ7zx+IS3cD8+g/XQ9OBAYSIiItIEhhoiIiLSBIaaMGAymbB27VqYTCa1S6E+8PiENx6f8MbjE960dnyiZqAwERERaRt7aoiIiEgTGGqIiIhIExhqiIiISBMYaoiIiEgTGGpUduTIEcyfPx+JiYlISUnBww8/jI6OjoA21dXVuPPOOxEbG4v09HQ8+eST8Hq9KlUcXU6dOoUlS5YgNTUVFosFt956K955552ANocOHUJJSQkSExORlJSEhQsX4tNPP1Wp4ugylOMDAK+99hqKiooQExOD9PR0PP744ypUG32GenwA4OLFi8jJyYEkSWhrawttoVFqsOPz6aef4r777kNubi7MZjMmT56MDRs2qFjx4BhqVFRbW4t58+ZhwoQJOHjwIHbs2IETJ07g29/+tr+Nz+fDnXfeCbfbjQ8//BCbNm3Ca6+9hp/85CfqFR5F7rrrLni9XuzduxeHDx/G9OnTcdddd6G+vh4A0NHRgUWLFiEvLw8HDx7E+++/j4SEBCxcuBAej0fl6rVvsOMDAL/61a/wox/9CE8//TROnDiB3bt3Y+HChSpWHT2Gcnx6rFixAkVFRSpUGb0GOz6HDx9Geno6/vjHP+LEiRP40Y9+hNLSUvzud79TufIBCFLNH/7wB5Geni58Pp//saNHjwoA4vTp00IIIf7+978LWZZFfX29v83GjRuFxWIRLpcr5DVHk6amJgFAvPvuu/7H7Ha7ACB27dolhBDi0KFDAoCorq72t7n8GNLoGMrxaWlpEWazWezevVutMqPWUI5Pj9///vfitttuE3v27BEARGtra4irjT7BHJ/e/s//+T/i9ttvD0WJw8KeGhW5XC4YjcaABbrMZjMA4P333wcAlJeXY9q0acjIyPC3WbhwIex2O06cOBHagqNMSkoKCgoK8Prrr8PhcMDr9eIPf/gD0tPTMXPmTABAQUEBUlJS8PLLL8PtdqOrqwsvv/wyJk+ejDFjxqi7Axo3lOOza9cuKIqCCxcuYPLkycjJycG3vvUt1NTUqFy99g3l+ADAZ599hueeew6vv/76oIsV0sgZ6vG5nM1mQ3JycggrDZLaqSqaHT9+XOj1evHzn/9cuFwu0dLSIpYtWyYAiJ/97GdCCCFWrlwpFixYEPA6h8MhAIi///3vapQdVWpqasTMmTOFJElCp9OJrKwsceTIkYA2x44dE+PHjxeyLAtZlkVBQYE4e/asShVHl8GOT1lZmTAYDKKgoEDs2LFDlJeXi5KSElFQUMCezhAY7Pg4nU5RVFQk/vM//1MIIcQ777zDnpoQGsrft94++OADodfrxc6dO0NYZXAYi0fB008/DUmSBrydPHkSU6ZMwaZNm/DLX/4SsbGxyMzMxNixY5GRkcFPLKNoqMdHCIHHH38c6enpeO+99/DRRx/hG9/4Bu6++27U1dUBALq6urBixQrccsstOHDgAD744ANMnToVd955J7q6ulTe08g0ksdHURR4PB785je/wcKFC3HTTTfh//7f/4vTp0/3O2CVBjaSx6e0tBSTJ0/Ggw8+qPJeacdIHp/ejh8/jiVLlmDt2rVYsGCBCns2NFwmYRQ0NTXh4sWLA7YZN24cjEaj/35DQwPi4uIgSRIsFgu2bNmCf/zHf8RPfvITvP3226ioqPC3/fLLLzFu3DgcOXIE11133WjthmYN9fi89957WLBgAVpbW2GxWPzPTZw4EStWrMDTTz+Nl19+Gf/6r/+Kuro6fxB1u91ISkrCyy+/jHvvvXdU90WLRvL4vPrqq/jud7+Lmpoa5OTk+NtkZGTg3/7t37By5cpR2w+tGsnjM2PGDBw7dgySJAEAhBBQFAU6nQ4/+tGPsG7dulHdFy0ayePT47PPPsPtt9+Of/qnf8Lzzz8/arWPBL3aBWhRWloa0tLSgnpNz5iZV155BTExMZg/fz4AoLi4GM8//zwaGxuRnp4OoHucgMViQWFh4cgWHiWGenw6OzsB4IpeM1mWoSiKv40sy/4/yj3PS5Lkb0PBGcnjc8sttwAAKisr/aGmpaUFzc3NyM/PH8myo8ZIHp//+q//CujRPHToEL773e/ivffew/jx40ew6ugxkscHAE6cOIG5c+fioYceCvtAA4BjatT229/+Vhw+fFhUVlaK3/3ud8JsNosNGzb4n/d6vWLq1KliwYIFoqKiQuzYsUOkpaWJ0tJSFauODk1NTSIlJUXcc889oqKiQlRWVoof/vCHwmAwiIqKCiGEEJ9//rkwmUziscceE5999pk4fvy4ePDBB4XVahW1tbUq74G2DeX4CCHEkiVLxJQpU8QHH3wgjh07Ju666y5RWFgo3G63itVr31CPT28cUxM6Qzk+x44dE2lpaeLBBx8UdXV1/ltjY6PK1fePoUZl//t//2+RnJwsjEajKCoqEq+//voVbc6ePSsWL14szGazSE1NFf/8z/8sPB6PCtVGn0OHDokFCxaI5ORkkZCQIG666aYrBmj/z//8j7jllluE1WoVSUlJYu7cuaK8vFyliqPLUI6PzWYT3/3ud0ViYqJITk4WS5cuDbgEn0bPUI5Pbww1oTXY8Vm7dq0AcMUtPz9fvaIHwTE1REREpAm8xIaIiIg0gaGGiIiINIGhhoiIiDSBoYaIiIg0gaGGiIiINIGhhoiIiDSBoYaIiIg0gaGGiIiINIGhhoiIiDSBoYaIiIg0gaGGiIiINIGhhoiIiDTh/wN0kWcZFCTOrAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.\")\n",
    "if len(skipList) > 0:\n",
    "    print(\"Lets plot them and their parent counties\")\n",
    "    for t in skipList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(t,tractGeom[t],6)\n",
    "    plotPoly(origMAP,0.2)\n",
    "    for c in range(nCounties):\n",
    "        if isAlteredCounty[c]:\n",
    "            plotPoly(countyGeom[c])\n",
    "    plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 0 units will be axed\n",
      "here is the proposed skipList []\n",
      "here is the final skipList []\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excellent!  We have no populated islands.  SKIP the below code block.\n",
      "we will scale longitudinal distance by 0.81062\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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YNmUaqqrS2dnJ7gO72bZnG4cOHqLaXw1HOf50goTVYMFusWKz2bE77Dhys8jKyyY7N5qLZLPZPleGz6b161j57rs4bDYqx4yhcsxYJEkaIGNw5H8LgoAgCP0X3Fj/KopCVVWVlrt0FO1treTlOQBoeO+PdHnXUGw/hQkX3QfQ72E8mvXLl1NgMJCTk/OJrvdoNKNGQyMGfe59v8eX0XkNJh3OjszOmYhPsrTZHxQoz8rNyFy+QBir6fN9eooQwR/xk0NmTvKCIJCfn8+i/EUsOm5R/+srfvsUs799Bm63G7fLjaurB1eXE3ePC7fbQ1tHG57dPkLKYQ+hgIBAVMdREEAQREw6AyaDCYvJjM1qw+awY8+xY8/Jwma3YbPZsFqtg2QIdDodgiCMaI+vtatX4w+GsFkU1m/YyJr1GzIyr2CzM236DFRUVPoUugH6/u0dJ/T92/vJRf/X+zw6QEDo/Syjg42hAFLva73/F90mgKqoyH0GlqoSjrgJR3xEwiGCwSDBYKg3b0tBFEUcjizC4RChULjXIIvur8jR/1bV6Noh+jcVRQGDQYfRqMdkMgJhVDWMJPUZswKCICKK0bWqqPTpeLa2upk1ewoAPa0bmTD7V+TPOCfh5xgOh6lpa2PhsccO908ybD7fZw0NjRFCFEWMkgG/O8NGjVmHHBz5nJpPmm6/G52UuQuaNxDB8jk3avaG9+IOuQdvkCPw3FXQtgsuexbyxw8ekwaKVUCVw1RWViYcFwwGcTqddHV14Xa6eq0ZQFGRwzI+txe/O5o/5PV4aG1vwxfyEZBDKa9FD+gFAZ0goO8VhzTodOgMBiz5eeQVFpFXWEBWVnZ/lVkyKQRZluns6WHh8cez5NTTUBQFr9fb3xLkyPYgiqLwxrad7Olxc+OCef3enFj/ejweHnj2ObZv3XL4YP1GWZ/h0qfZ3XfR773yqwOVvPsMir7XI8EARlXtNxoODzx8GAEBsc840ndjtechSXqMRgMOhw1J0iMIIuFwCJfL1ZuEa+x9D9HEXFGS0Em63psXod+4kuUwwWCAYDCAz+dHlkOoqszhe5y+1ipqdL8j3npenoXp06JVk7LgR9Il92RV799PRBCYqhk1GhqfXUw6Y8Y9NSaLHiUUW104GWucHmRVZWGOPaNrygTPbdlOOJidsfm8gQg59k8/GTbc5kOQBHR56YeQjjMdd/hidyS7XoI9r4ElD1b8Ar7+xLDWKBWZqKuuJq+gKOE4o9FIUVERRUWJxx1NJBLB6/Xidrs59Oe3yPvmwv5tqqoSCYU4sH8/AZ+PioICgoEAoUCAcK/HIRwK0tbUSH17K/L+/ShHfSR6ScRiNGKzWbFZbVisVqw2OzaHA4vNRiAQQFFh3MRJQG8SvD3+b+AbS/JY8soKflVUjCFBqNFsNrPs+u+n9VmkwsrtO1j1wr/52R2/TNlzteKli5k651KKR336RsGRhORuzAVjko7b8dFH5Oh0FBTEToz/JNGMGg2NOJgMRgIZzqkxmfUoofRzatY6PVyw+QAAz80cy6Lcz5ZhU+Ns4PTpmQk9AfgCEayWT7fzebC2h/Z/bQNRpOjG2egL0xNMrLBUsKttF5NKJw3csPcNKJ0DU8+Hlb+BSAh0sbWOPlj7R949+AaTssZy4Qm3Y8garA6dXVGIs64NRkiSSKfT9SdQq7KVikmTBo2ZPnNmwjk23f8X8PuZe8v/EAhEG5q6XC66uzrpbGujq7MTV08PLa2thMJhwrJM5AjrRyeKlJSUpLZeScdio8Bjm7bw7flz03uzw8Tl9fHu4w9yw223p2zQyJEQihqiq23nZ8aoCfm6WfvKCRjEbEwFo5KOD/j92D/lUu4+NKNGQyMORoORgD+z1U9mix51CJ6ahxs7mGQ1oRcEHmrsSGrU9LnkPyn2tHZyw4JjMjafLyR/6kaN+8NGdPkW1EAEz+omcs4fl9b+Uwunsr1lOxdy4cANTZthwhlQcRxEAtCxF4oPl3T3OGvJyq7iHy9/g+5QD9edfC8ba97iey+dzzWTr2ThsT8YMF3luPFs3lA/5Pf5SSAKAn2m/JGl7BD/M1UUhUgkQigU6tdASZUbjpvHZR9s5NvDW3ba/PPBfzHjnAspyk3dwG9r2IyYtR2/77Nh0AAcWnEXjtB4ZlzxQkrjRUH4RM83idAapGhoxMFkNOLPcEm3xWZAiKRv1HzU7eGM/CzOLMhitdOT9ATywMZ36FH3DnWZadPaLXFsZXnG5vOGIlgybNSkc9JVFZXgASeWmQWYpuYRPOBM+3ileaV0ebsGvqgo4KyH3DHRB0D3oQFDFr58Lo8t/wHeYA/LvvYKxcWzOOf42/j719/h9f0vsHLVbwaMz8srRJdZh2LG0en0McUNEyGKIgaDAZvNlnYFWWFuLjlKmN1NzWntNxy27NuPq8fJVxctTD74CGQ5+scbN+2SkVhW2kT8LtpdK5l+yTOIYvJKwVAoRKPLRTjyyVR1JkMzajQ04mAymwgGgxmd02jWIaVp1HSHI3SEI0yxmZlqM9MTkWkLxb9AHOxq4y+7f8Q0+xnDXW5KhOQQcsSAw5Q5I8QXlrFZE7ef6Gys5+Gbr+P1P9+LqiT/TEOBIKSYzCy7gqhBGX2ZDUOpjUinHzWc3t+ttquWUkvpUYtwgxKO5tNYeu/mfZ39m1tbtwHwh+aV3Hj+0wN2NZqy+MXXXufJ6pdwd1UP2KaKEIqkntA7ZFQRz6ot6e8niggp/I0yyaL8HJbvO5Dxees7O+n0eAe8pigKLz72IJd98ztpV4DZHKPp2u8gKzd57sonQeP6B8jTH49kSM2QrK6uxhsOM25KZuQchotm1GhoxMFkMhMMZ9aoEQwS+jS9tC3BaCluqVFPiTFqODQH4wv4ldizAdALQ9dHSYe19XsodGQ2qdcflrHaEhtJHz71KD63iz0fvc+BTeuSzhn0BBB0KRo1zujfXZdtRMo2gho1dNKhpquGMXlHXagivXPojNB3F7zmrwC4XY18+41vcHPuXFZf/B56w2CNIYPBwnfn3cxflw9McFWzJQ4dyvwF/GiyzhmP+73q5AOPwpCVTdAToxJsBDltXBXrnJ6MzqmqKg/c/j888q2v09R12Av3zDsryBoznsllpQn2jo0jtxRrTmr5WqFQiA0bNtDR0ZH2cVLF1biBnAlLUx7fFxacd9JJI7WktNCMGg2NOBgtJoKZvvuVBKQ0jRp3r1vXrpP6f7C7vPHjDSa9gfHm0zm5Mj03+FB5Z28N86oyK7jliyhYLfE9NeFQkNotGznugospGFXFgfVrks4Z9PrBkNopT+kVSBTNh9MOI13phSJrXbVMLZk68EWxdz5FPlwWPHYJANe9cC61osLZx96CxRK/19MxUy/Fh8rOXc/3v2YqcdBysC6t9Q0F1R9AMKUvXlg8ZSrtbS0jsKL4TCotpVXNrG7Ohzt2Ypo0jZ4xk9h24ABvrd+A0+Nhz9tv8J1LLxvSnK6uRvSG7JTGvvHGG7z++us8+uijhEIj45mT9FaUQOrGYF9Y97Mi5qgZNRoacTCaTYTlzLY06BfrSoM+p70IeOXoszp/4hNac7fMH3bewIGO1rTXmC4fH3Jy6sTBvZSGQ0RV0SdoaNlZX4cciVA6cTKlE6fQWpPcSxHyhRBSbZLZV3kjCsiu6Gcd6UgvcaUj2MH44qM0aIy9Cd5BF4R6Lxzl0QRrHQIvnvBbiopmJJ375tP/zt83/K7fMCqsLMfb5ExrfUNBys1C8abvvdQXFKCO0EU4EQ5VodHZk3BMJOLG49mXdK431q5jw123MX/hiZTNPY61D/+Dzffdzf2PPMTcr1yEbYjK0RZ7Poqa3GAOBAJs27aNefPm4Xa72bt3ZHLmgsEWjDGq7OLhbG9HUNX+fnmfNppRo6ERB71RR0T59JPfjL2KWUFFIUcfvdNfkqT66YXLfg7A9tbaEV0bQGuPyoJRmTVqktHTe9efU1xGTkkpPe2tSROB5UAYQZ/aKU/QRcepEQVdfvRiZah0pLVGVVUHV+xIerAWQE9D9AFgj5YqmwU9Y8emlgeVmzuOYmsxNbtfBGDU2LHoOkc+Z0UNKwhi+lUueouViPzJ/5bm2Uz8d298g1eW/azf8BXWrT+T5ub4lT6yLLP2pecovOr7LJ41myyDHntXG/6cfAItjZyXZnLwkRhMNlQ1eRJ1Q0MDiqJw3HHHkZ+fz6FDh5Luky5yJEiAFnImL0l5n5YDB8ju7Wb/WUAzajQ04iDpdCi9ypuZZKInvYtPXq93oSMcoT0U9RzlJmn2WGLPoUCYj0k3sicabzCEKCmfaDsGAL/LhSCKGK1WzI4sIsEgkXBiT0AkDaNGtEQ/X8UbRvFFP3PJmt5n6cPNygOPD95QOBmat0HL9sPPAbcSoMeTerXOV2Z9h1e2PwiAwWRCFxn5v4EaDIM+/TCD3mJJKZk70yytLOejju6421tbX8fvbyAray4Ha/8W97f+1PLl5E2ZwTfOOgtRFDnjlFM5/74HmHD2BXzlqmtHavkDaG9vR6fTkZubS1FREe3t7Rk/RtvHz2GX0kv4bW9rI9eRnsE/kmhGjYZGHORwBBEx47HivTYR+WhZ1QSUGA3oBYFqX5CD/hAiUG5MXBkEUGatZG3DjmGsNDkbG2sozvrk5a7kSBid3oAgCBzcvBEAb1dX4n2CEQRDauEnKScqJBbpDBDpDIBOQLQn/8z7UFWVZrWN29feO3jj6JOg5j34+DEomt5fBWVGxO1O3aiZMfZMdgQ7kAMuAAS9RLc78WcwXFRFRhCH9vfu6630SXLMmNHUJqgU7Or6EIdjJpWjrsXvryUQaBo0xhcMsn/l23zraxf3v5ZtsTC2uJgrzjyTuePT0y+KRSpnGLfbjd1u7+0F5cDtznzidW3NXyk7JnUjzel0UufxkF+afoL0SKEZNRoacYiEI0gj4IGQRAFvghPt0ehFgWk2M+t6vKx1ephsM2GSkq+r3FGM3TCyHYh3tNYxKjsr4/PW+kJEEpS+C6LYf+efP6oKAEOSnAYlGEFIMVFYsuqRso2E6lyE6lwYSmwIR/fxiUEo5CcSCbNpyyMYBYEeWSV0dO+k2d8ASQe1H8LxUSE9VVEwS0ZKC5Pn0/QhCALzi+axbkO0ekrN11F/MP3KpHRQPIGUDcOjMRqMeFs+Od0YAJ1ej5DAjvJ492K3T8VunwaA1zs4T+XBZ59l3OJTsJlHTjE3FVMvFAr1N9ptbm6mK4kRny6dO94CVSFn3Ikp7+P1Rkvbpx03QnLWQ0AzajQ04uD3+jBKqd2d79+whid/egs1HyfvHiyJAt5AekJkZxdk8WZ7D6+0OTm7IDulffyRAFIK4lnDobnHT7Ej8wmCogD79sUvWzWYLUTCISLhMCarDUEQMdsTu8DlYAQpSdjuSMxT8vBuasO/qwvTlLyk4zu7DvL2O6ez/L+n4Oz6NSvO+y+nFY1mQ92LAwfai+C7H8I3l8PMrwNw9dMn8p7qQUozXHjuMbfwtwPP89eXr2Cz9wM69ydPeB0Ovk212BZOGdK+jpxcunbvyvCKkmMWoNMdu5onEGjGbCrDaCxCECQCgYFGV6vTSfuOLVx+xiej+ZQIVVX7vcYjUdLduedNiosvTD7wCPqSgzOt5zUcNKNGQyMOAV8Aoz65URMOBlh+/5/oqDvEW/f/iUg4ccWUoBfx+dKrqvpmeQFL8uwsyrHznfLUmsZV2EvY3j6yF5F2d5CS7Mzr4Zw3poC29vjNRO250ZJnd2c77s52rDk5CEm8ampIRjRGjZqwLLO/y8nl76xm3qvvxT7G4nIkux59sQXbgsR9hxRFYd2665k+7V5OPeVNQsFJZGUV8z8n/JH7Nv2Rds9R5dY5lTDquN59ZfSRIL+tuijhMWJRnDuW35/2D04Zdx5LRo9nUtPIXlxUWY9hVHIDLxZZxSV0Vw9PS0dVVdQ0QrcA5aLK7rbB+SeqqiDLHnT6LARBRFVlXO5tA8Y8/eorzDrjHCRpZG8OErqTetHpdIR7zy2zZs0iKyuzHlK3ZyeF0y5Iax+73Y6gqnQ2f7IeuESkZdTcf//9zJgxA4fDgcPhYMGCBbz55psDxqxZs4YlS5ZgtVpxOByceOKJ+BM0BbzzzjujZa5HPCYd1TAtEAhw/fXXk5eXh81m46KLLqK1deRLVTW+3AT8AYz65KJyh7ZvJej1ctYPfoTf1UPDru0Jx6t6Eb8nPaPGIok8On0MT84cgy1B5+EjMUh6ck1D0I/Z91/482xY+4+kQ7s8EcqyM99cUwEsxvhelbyKaJO99toa2mpryCtP3nRPCcmIRom/bd7JzOVr+efuagqMehxxPk/JYaT4R/MoumE2oimxh+fgwQ/QSSWMGjUfg8HCWWe9BkCRfSw/PvY2lr17DUqcRNnqug+YbC7mzJPuTPoeYlFcdiyTpn6NGYu/hd49wvlNqkpqGSCDyakajbNh6Fo6oUCEZ3+zgUeWfYSzLb7BezSlZiOHup2DXlfVXi0i4fBn1tLyUv9/17W307FxDSfOmTPkNafC5lV/RC8kb9ZptVr7wz1erxerdbA443AIS27MeelVMep0OuySRHfT4FykT4u0jJry8nLuueceNm3axMaNG1myZAnnnXceO3fuBKIGzRlnnMFpp53G+vXr2bBhAzfccEPSyoipU6fS3Nzc/1i1atWA7TfffDOvvvoqzz33HO+//z5NTU1ceGF6bjKN1AmHw9TU1FBbW0traysul6v/DuHLhMfjSUl7obV6H9bsHMYdswCTzU7LgcQhAMEg4fOOvGbHa9XLyTalWZWgyPDaTVHp/v/+FFyJ78DcAYViW+YrH/xhGZMxvvFmy8klt7ScbSuWU79zO6OmJe4SDdFyZKeq8HRzF7nIXFpZQlswjB4VzzA1VPbuu4XikthlsMeOOp9yaxHvVz8Wc/ue2neZXJB6Lk08BIMxteSMNAhUN+B8fRWqquL678eoci5SfvaQ5sqZMBFXR9uQ17JrVRNdzV5UFTa+UZvyfqVWK00xwk+CoAMEZOWwd6uq8nv9//2vRx+m5KTTyM+wR+RoWltf4qSzH006Ljc3F7/fj8/no7Ozk9w0mmYmY+WBl/EWdSEOIQncotfjTqIF9EmS1js499xzBzz/9a9/zf3338/atWuZOnUqN998MzfeeCO33XZb/5iJEycmX4ROR3FxccxtPT09PPjggzz11FMsWRI9aTz88MNMnjyZtWvXctxnKEHp84zf72fH1m3s27KHg611RNTBmhKSIGLUGTHrjZgMRkwmM2azGZPJhNFkRKfTodPrkPTRf3UGHZJej6SXEHq7uPY9FEXBGY4gEP0SRu/9VITe6gidKKKTJERRjPmQJAmTyYTZbEbqHSfFGD/UyiVFUWjuamXe7LlJx3a3NJNTWoYgCOQUl+JsTaycKhh1hNIMPw0FSZQ4f1Ka+hmNH4OrES57Dp6+BPa9BfOuiTs8ooax6jN7xwi9bRKSNLSce84FvP2vv2Cy2pi2+JSkc6ohhb80tvKL48bx//bVM6Egj4bt1eSLAs0uN+Pz0wurNDV9TEPDSjq71mHQz2HG9Mvjjr169m38dvWPOHn81YO27W7fxtfm3pjWseMh6sIoPR7ErMwkiLtXbCdYY8P9/nugqhT9eO6Qy/ezJ07G63INeS212zoYNSWP/HIb299vGJBjkojyLAc7DjUMel0QBPT6bMLhbhQlDAgYTYc9JnqflwtPSf69Gi6StQudPnkScmlvhdH+/ftpampi8uTM9Vo6sP9hivYvgNPS39dqseD5hFtgJGLIvkpZlnnuuefwer0sWLCAtrY21q1bx+WXX87xxx9PdXU1kyZN4te//jULFyY+se7fv5/S0lJMJhMLFizg7rvvZtSoqDt506ZNhMNhTjniyzVp0iRGjRrFmjVr4ho1wWBwQPKSaxg/ps871dXVHDx4EIPBgNlsZvr06ZhMJhobG3n99dfx+/10d0e1HPKN2Zy46EQmTp2EJEn4/f7ow+vH5/Hic3nxe334fX4Cfj9dXV0EwkFCkRCyoiCrMoqiIKsKapq3jSpCv2dbyFDpp4iKJEYTTyWh919RQBJApxMx6nWYDHqMRhNGkwmjEMGYV06HK0BQDjFpZvKkSL/bhcWRDYAlOxu/O/Fdi2SS8PpH3qgJKyFyzGle3Jo2g2SAsSdD4ZToc+IbNYoaQS+mXuqcKm5/GKs9cehv+pLTyC4qxlFQhCUrO+mctZ4AeTk6lo6t4vlDzfx18050qkpY1NOZplHjdNaxbfvV6PVeDAaw276XcHxV7gyCcoRWdzVF9oEu/np/O6NGLUr52InQ5QqED1RjnJvcc5UKwZouHKeXYFswGd/GvRhK4rdvSLo2szluCC4ZqqrSXu9hzumjyCuzsfGNCO6uAI685Plclfk5tO0/GHObyVSG319PINAAqJhMUSVdXziM4nFR4sh8aPVo3C2pGYm5ubmUlpby6quvIsvyoDSNoRKIhMh2tqH7wAhDsK3D4fBnRngPhmDUbN++nQULFhAIBLDZbLz44otMmTKFtWvXAtEcmd/97nfMmjWLxx57jKVLl7Jjxw7Gjx8fc7758+fzyCOPMHHiRJqbm/nFL37BokWL2LFjB3a7nZaWFgwGA9nZ2QP2KyoqoqUl/h3x3XffzS9+8Yt0394Xkrfeeov29vZ+b4ler2fWrFl8+OGHNDU1UVlZyTHHHIO1TUCvSkxZcmxGjqsoCrIsI/cqiR6ZN/X29mYOeQJ8d+G4/teO5EiPTqzHturNrGmo48IpxyPLcv/r/f8tR1AiIeRwCEWOIEdCKJEIciSMLEf/DYeChAJ+gsEgHq+Hzm4nQa+TYHUz/oiAQzRQVpZcLjwSCqHPjV6Aqzcmb6yoM+oI+9KrfhoKYSVAljFNo6a7FrJHRZVv88ZEnydAVgQMuszncTR6g+TmJ75gCYKQUtipD1tuId+YXwnAj2dO4uHdByjSieTpBW7eW0/uvnr+cuw0xuQmz0P6ePOfKS/7GVlZo9m6dRmCUJt0n7NGn8ELO+/ne8f9bsDrKiqSLjOGoS4/G7mlCciMUaOGdVhmj0U0GbEtHH6IDIGUPSxHEvJHCPkjOPLNZBVEvxfujtSMmlF5eXQqsY9nt02hx7WZnp4tvc+j3o8X33uP4hnp59I0V/egM4gUVKRuDFkcNlRVQRCSGzfnnnsub775JtOnTycnJzP91sIRD50F47GFhuZtOTKB+bNA2mejiRMnsmXLFnp6enj++ee56qqreP/99/st8O9+97tcc030zm727NmsWLGChx56iLvvvjvmfGeeeWb/f8+YMYP58+dTWVnJs88+y7e+9a2hvCcAli1bxi233NL/3OVyUVFRMeT5Ps+UlpbidDr5/ve/z3333YfNFr3QtbW1MWrUqP6/18F3d+Jpy1xstC8EFMuKL7Jb+LjbF9eV3WfoxNtutlnQOyyMHTsy8vz+D98jXNOSkqtdEITDaqmCcLhRYRz0Zomwe+RLIBVVwWJI8w7K3wV9zRStBdBZk3B4ICSRZ8ls9dOO3TU0+XowpFF+nQqiDJbeJplj83K4a+ExA7avq2/iinU7+Ne8qUwrSJyv4PfvZPLke3A66zFbDhLwJ28AeMbEb3PdGxdwtE8n/W5g8RELiwhXx/ZKDAVBjICcOSVgk8GEp6kRe1l5WvsFvNGLptmmx9Tbvd2bYtd0s15PJI4RlZ+/lKbmZ6k5+EccjtkYDFFv3f6N67j6mvSuP3U7O3n1L1sRRYGv/e8x5Jcnv6FobdiAoDhSMmgASkpK+OY3v5nWuhKxq3Mfm/bcRa7dRqjARHtbBwWF6XnjDAYDweAn39crHmkHRw0GA+PGjWPu3LncfffdzJw5k/vuu4+SkmgscsqUge76yZMnU1eXesZ7dnY2EyZM4MCBaOlfcXExoVAIp9M5YFxra2vcPBwAo9HYX6XV9/iyMnPmTMLhMPv37wfA4XCgKAo9PT0DPBF6iwElOPIeBIDiLBOtkaEfS1EVRrLIUhTUpCXCfRjMZoL+aDVG1YzZjD/2+MTjLXqUNHVqhoIKiCkIxg0g7Ad9r5Gy4QFoTVLJpZJxT83yO2/ka3WPsP6fT+PvzmACYljBnKCian5FKX+bNoYbNu0inEKfIknSkZc3mnFjH2fq1D8kHW815uHQGWjo2Z/WstNBKizsb8CZCVRZQMpgdZsjd2haNXI4eqMg6UTUXhtr/4Z0ko5j32jk559MXt5JhMNOxo39HwA6ujpRuzqoKk5ekXQkW9+tp7DSjiXbwI73B+fwxGL7xruYNO3WtI6TKdo9dTRvPRMh62QuOOZvGBYvZvtrbw4aV+Os4YldT+ANe2NPpEbv5T4rDFunRlEUgsEgVVVVlJaWDuocum/fPiorK1Oez+PxUF1d3W8kzZ07F71ez4oVK/rH7N27l7q6OhYsWDDc5X8pGDVqFIIgsGnTJiCqLdDa2oosy0yYMKF/nD7LBN5PpulccbaJjmHcASpDcGGng2gzI/tTy+ux5eTi7oyKYbk7O7DmJL7LN1r0KMFPv1FmTEQJlF6Dq2TWp7IEn87KtG/dhqQ38O6f/p6xeYWIijlBRRXA7IoyFln0VHywPa5h4/G0IQqHvVOVlcdTWZnYkO3juLKFrNj/SMprThepqATFm/x7G/B42PT6y0mT2hF6E9EyRFZJ2ZC0akQpugZFVvsN9fKJ6YVfYrVoEASJmTMe5KQTN5OTEw27v7N6DQVjYqdLxEORFZr2ORk3t4jRMwpo2Bu/31QfdfvfAWMjlZNSbx6ZSV7d+Vesk57himnXRFXLzzydwAfvDxjjC/v41n+/xf/b8P/49dpfx5zHYDQSGsYNaqZJy6hZtmwZH3zwAbW1tWzfvp1ly5bx3nvvcfnllyMIArfeeit//vOfef755zlw4AC33347e/bsGRBGWrp0KX/961/7n//4xz/m/fffp7a2ltWrV3PBBRcgSRKXXnopAFlZWXzrW9/illtuYeXKlWzatIlrrrmGBQsWaJVPKaLT6bBarbS2tiIIAiaTiV27diGK4oCQnGTUo0Q+mYutZNChDCMZWFGUEVWOFLPsqIHU1pdbVkFXYwMhv4/u5ibyyhKHOY0WPWroM2rUGO0Q7E2qL5oK5cfEHeryB5CG0LE5GdYZJ2Bz2Jh16VfwdGdOCl5WVawpiKjdecI8vi4GqfhgO3PeWEWbb6DOVm3t21isQ8tZOXPid/mwcXX/80z3QhLsVpRI8pDjm3//A+899n/859e3Iye8IA3OdxsOOZVj6GmsT3s/Y2+D0aA/QqjXy5lbknrVnQXo9sbWtomGug9/L/Yf2M8JS09Na32uzgCRsEJ+hY38Chs97X7kcPybNkVR2LX9LmbOfCSt42QSKXSI40oP/74r8nOJBIMogUD/ayvrV9Lh7+DyyZfz5sE3cYViFdx8sv28kpHWdaGtrY0rr7ySiRMnsnTpUjZs2MDy5cs59dToF+Cmm25i2bJl3HzzzcycOZMVK1bw9ttvD8h7qK6uHiDx3NDQwKWXXsrEiRO5+OKLycvLY+3atRQUHFZN/eMf/8g555zDRRddxIknnkhxcTEvvBC/TbzGYPoUMVVVRZZl9uzZQ0FBAbojQgede5owlX4+wnSKqiCOoKdGMNtRU7z7qJgynUgoyAdPPowiRyifMi3heLPNAMFPvmNxSthLoacx+t89DWCP74J/bfcuxpdkPgioyjKSTodk1kOa6rGJUFQwpuB1kCSJ+06azz25BprMNqqdA0/krW2rGFUxtFLffGsJsirjCjgBCMgBjBnMqUnFAHF3dlCzaT2zzzwXZ2szdTu2xh+cYaMrZ+IketrSF041WfVIOhF3ZwBXZ/Sia8tNLozZR54Edd3JvScA4c42JldWpbU+rzOa32PLMWLLieoFeXvi5/zs2vBPzIaJFJQmPleMFM5AOyFpsKerp7iEjgOH+4dtat3EuOxxXDbpMiJqhG3t2wbtoygjey5Ol7SC4Q8++GDSMbfddtsAnZqjqa2tHfD8mWeeSTqnyWTib3/7G3/729+SjtWIjSzLZGVl0dPTQ11dHe3t7f3GaB/+fV2Uf+WT+5EN52egqOqI/pBUGQQhNaOmcPRYSsZNZOvbb1I+eRr5FYnDrRabASH8GfXUFE4CXwe4mqB1B8yLnyz51q5alk5JL+EzFRRZRq/vOzUJKLKMmCGZ+nS8DlfPnMLO99bQ6hmYSxAMHGTUqPlDXkOlvYz97R8xt+Js/AEX5iF2vU6IGj/RoWFPVCz1uAsvYf/aj2jYtZ3RswbrMbX/83UEQ2b/vtkTJ+D1pl9lI4gCuaVW2uvcKIqKpBdxFKSeoF6ok6h3upiVQq1IxGRBCfrBmHpFWsgfPVcYzDoUOWoI9rT7ccSp4Gtqfp5jFz6Q8vyZZl3dWzgcA6u73C4XOXWHyJ9yWP/mYM9BxmePp9xejkkyUeOsYWHZYYkWRVHodDrRp9mzbCTRej99SQiFQlRWViJJEk888QSCIDBr1qwBYwSPQt7ook9ngWmiqCpiBu9wjybS0IQuO7WLjSAInP8/t3PKt7/PubcsSzreYNZhyKAHIh5B2cuW5tr0dqo8AQQRlv9vVFV4dPyOvbubXXx1Wubz2lRFQdfbusBiz8JVP3QV2gHzDuHrkmc00nJE2CIU8gE6JGnohkhIhdtW/RQAv78Ds5i6xyEldBKqpzPu5q7GBqzZOVgcWeSPqqKrKXZSa6jeQ97Vma0YlQxGPD4fnrpDae9bMTmX2u0d7F3bTNmEHKQUOtX3UWAy0uyJk+h6BIosY96/g0iaP8++5GVREvD1Jmq7uwIxx3Z37kQJ6cnOH53eQTKAM9DNP9b9Lz0Nf+HEMQNV+de89DqGc84dUPHZ7m+n0FKIKIgUWAro8A9spLll0yaafT4WnnUmnxU0o+ZLQDgcJhQKUV5ezrnnnovBYOjvz9VHT1MXijmz8fORJOqpGbn5I00dSAWph+IsWdnMPPUsLI7kkuqCUYfhE3DUmDwltLQNdhcnxJoP0y+GnS9C8YyokRODBmc3RoOM1ZC5Dt2BYIhDDc2EA/7+sGh+RSWtO0a283QiFpUWsrrjcAVWW9tu9Pr0qmKO5o7FD+HuzV3z+7sx65KryaaDZBGQW+K3t/A6u7D1NgS15ebHzVsSJJC7Mi9amhuW6dyYvJv90Uw7KVqp2dXsY87pyXt9HYneaCCSQifph596AmXiDBxptkaQDNFLaSSkkF0U/U0Uj4k9x76tT1BU/OkYASsOPINBZydcfDMlloGl255NG5l84sDfuzfsxWqIXifq3fW8dOClAdtrt23DKghMmDK0zu0jwQh3P9P4LNDQEL0TKysro6ysbJCHBqBzXzP64sxdoEaakTZq5C4XppljRmRuQRJG/G6ieucGqlw5rN3zD86Y+ZX0dj73Pph4JlQtgjhl7c9v3crsUZltj7B67WY2//1XhC2FFBdGK8gKJ4yjafsuJnLSsOcfytdlQUUpy3Yd1n3p7NyH2TK8kIxRZ2aCLZrPEAg4MWXaqLEbUTo6IE4BT8jnw9irLdS4ZwfdzbGbEZqmlOLbWI3t+AyI7h2BsaICS1X6Xgp7rolL75hPOCiTXZjeuUqWFYxJPDsb9h/A+dpznLQsdpVPIsy92jkBT5iAO6qpY7LGDskImBDEoeXURcJBdCk02Y2Hy7mapTPuptIx+Dusb22lYuzAv4uqqohHnK26gwPzkowmE/phtKMZCTRPzZeAdevWYTQa+8vkYxHo8GDMy3wPn5FCVpURDT+pYRnBPIJG3ghGnwLBMD/7z8fc+50f8J9APc++8f30JtCbYOr5YI3fNmD1wWZOmZhZ4UM5ImNY8BXufPgh8nKid7klsyZzaM8WuvYPvbszgKqk27QjiiiKVOglVtVEwyUeTx02W+oSFcnwB51YdJn9nonZZuROZ9ztKkRDjBDXoAGwzKgg3JZ5kciA10NTCsrbsbBmGdM2aAAiioI+SV7Wyw//i9m33sniWelXtvUpGzvbfDjbfOiNEmZ7bKOmqHw2LU3/Jeh3pdQ2QlFkNr79F/554zncd8VFaa+tj0ZXLUHBGtOg6XR7wDQ4/8ekM+GPRKv/xmSN4YrJVwxcmyyP4Fl4aGhGzRccVVXZt28f48ePT6iOG3YGMBeMfJ+TTKGqKtIQG+ulguQwEGluH7H5R5Ke7naqbApFhUVclz2DjZ2JBfSGQn1niMVjMtN7pg9ZUQZ9Ry352Sz46qWseuARnrnhR6z7x1N4mjvizBAfNaIQloZ2+r1hylj+vLcWgGCwGbstvdBHIvzBHswZbggq5WYjO+MrHOsNh0MxM089k8Kq2MaplJeNOgJinBMXLSaQYiVSpgjLyY0aQVFYPCf91ggAJpsee56J5gM9NFf3UDDKHtd7UTHubGShlb9fewkblscvflFVha0f/otH//ciOhvq8fQWjcny0FoSPLHnJQpzY+fA7Vm9DmncuEGv5xhz6AxE87M6A53kmQfe6ISCoRE9Dw+Fz9ZqNDJOOBxGUZS4vbf6CSro7Zl1g48kiqqO6B2Cae5E/Dszk6AakxFcvNfnp8/zfd3ZD9OlBJDDmbvjVlWViKKQZcqsEawoSkwV57GnHs9X/t/PufD/3YU1N4flv/0jz/3wNrY88TJBV/L2BAByUCasH9qHvqC0iA9MWTS63EQindjtmUue9Yc8mDJt1BTlI/fEN0bMjix8PU4AvE4n5jhq64onCGLmjZrsseNw9eb8eAMBblv+LgB17R3MfnlFol2HjE9RsCRLLDYa6fHHTu5NhTGzCtizppm6HZ2MmVUQd5woSshBKJmWzb41H7Dy3z9DUQYm2e3d9CyP/eyr1O/cxcXL/sXp1/yWeV+dz9QzJvPmAz9IuzFoMBygOLCK8ydeEXN71o9uYsLiwUUBFY4KDrkO0RXooifYQ7l9oJens6sLh/Wz5eHXjJovOH2dys3mxOWPqqyg06efYiVHwqz9zzPsWf3BkNY3VEZap0Y3YSayK4waHhmlTEGI3j1mGiUi09JYiyBG70olnYHFhfN4d929GTvG+vpqnHL8nlA73D5+f7CFrjQ/O0WWE7amMFjNTLv4TC764685++e3EQmFeemnv+CVW39JzdtrEp7o/cEwim7op7vTIh7WNLUiKz3YE2j3pIpOFPGFXPhDbsyGNJuOJkFfNYpwT3yvRHZRCT3trURCIbqbG8kuivN+hP7/yyj2MePY2XCQrz3yFHPfXssjhlyufH0Fd61aR7MjDyWFFhXp8nJAZXRB4i7seeMm8ebaNUM+xtwzKskttVI+OYepi0oTjnXVZVNSdQKX3/EM4YDCs//vSlRV5dCeFTxx59fY+cE7nPfDP3LOdX/CmlUIwElfu53pJ53P3ncbWP1Ker/n9+vexJC9GFGM/b2omTGHcQsHe3Fm5M9gZ8dOPmiInt+n508fsD0UCWOzf7Y8/JpR8wWnr4okWRdV1SwScvoTjonF+pef56Nnn+D1+35LS/XI9bQ5mpHWqUEQMBQJhLZ+PCLTS4KAdwT6P/3fM//mstcDBJTDP+0LFt3Ji9WvZUxIbVN9E6dPjK1n5I3IfH1rDffWtvDjPekpx8qyHDNE6veE2Px2Ha6Ow99PS1428775Vb7+l3tZeN3V7F61in9e+1u2Pb2XSIyQSSAgo+qHfrq7uKKIx1ucqEoEk2n4d6YV1kL2dWwiEPJgNmZW8FIwmkAVUOP85ovHTUBVFPZvWENnYz0l4yfGnkgkWgKVYWzFJciiQCMiTls2b4zO4UPRzB4hqguTqkheOhRHQsxJ0q5nTGUVncnaRiTAbDfw1Z/M49wfzEJnSPy5FRd9lYhXRJQkTrvqN+iMOh788fmsfekRTvv2z7nw5n+RXTh4vV3N0aT1UCC+h1KWB/f+am7+DyeNvSTm+Nq2dvTe2POdUnkKiqrwyzW/ZHr+dMpsZQO2d4TDn6kkYdCMmi88RqMRURRpbo5f4gmgzzHja0u/fHPHyneYvuQ07PkF7Hz/naEuM23kkTZqiN7xytV7kw8cAqpexOvNfGfbPa0+pukb6fQevrBbbUWMsZaybcfTQ57XFfDxq7ff4IXtm6jt7qIyJ3bfneWdLjrDEX5YWcSbHT10hFI33BRVQYwRInj7wZ2s/s8BXv3LVpQY3q3csaM46abrCAYPULOtgyd+9CHv/Ho9j//gPeRewzEQCINh6Ke7mSVFhANRoyoTJ/ExWaPZ17EZf9iLyZD5O11djkhkb+xy/sKqMeSUlLH8739EpzcwZk6cVhgCjMQlQmcwsPCWO6ipnMSsribmVFUy0edkYm+z0Tf3pN8bKhYNnZ2c9J83+ceqNQRVuHjLAZ5vid92Y/ubL3HM3PhtQTLJoa2bKZ8yHW/DXqpf/hsnX7aMM677H75+2+MUlk+Pu9/oqUspnZHF5hc34+4abIAd6D7Ae+9PZnPr5v7XtrXvQNXlU2qN3X1776atmE4+Oea2YmsxP1/wc+YUzeGOBXcM2Nbda3xaEzSW/jTQjJovOKIokp2dzaFDicWuTPlWAh2p5Sf04enqxNXeyujZ86icPpvGvbsHjQnF6H9ysNlF8cot7BtiWSP0JgqPsFEjFRcQcWbe8ICoUePPsFHT3d6CHA6yI1zGiWMGXigvW3g7T23955DnXnPoAA+uULnlyRa2N/bg9MfO0Vnn9DDeYuSq0jxUYGNPcsGzPhRZRRAGnpJ62v3U7+5m5tIKnK0+Gvc7Y+5ry7FjtDk4/+4TuPqvJzNmYSmusMKLP1/Di8tWUfPywWEZwRVZDnwZFEwsdYymyXOIQMSH2ZSeJkoqGMYU0/l0bONAEATO+P7NlE6YzOnX3YjZHttTJDnMIKcWkm7xtnDH6jv4sOHDlMa3+oJc0FrHWxedBcBr55/OP05bBEBpTnZKcyTjR++tZW9uCfe4VA7lFPJBt4fHm2KLEm7ctYtQXhHHTZwQc3smObh1EwG3k9pX/sLbv72V1555nbziSZSPj60JdSS27BK+vuxx9BYFs31wOG1t9aM0WM5iQ8O7/a9t2n0nc8d+J+6ckU0bscSQ+ejjgvEX8MBpDzAxd6BH75H/+z8ATjhp+HILmUQzar4ElJeX09aWOOnVXpRNxJleklxXU7RHUF55JfkVo+huahzUoG/Uqm0Ur9zC9gYnAIFQhAV7ovkYTaahX2RkFYQRLibUFecRcY+QlJNBwucZWhVDLJSgn9m/38Rut4nXLi/jkosvH7C9tHg2iBJN9UPLGWjs8TC50sX/np/F7oP5tLtir/2AL8gkq5kSox67JLLfl/p3SlHkQTH/pv1OEOCYc0Zjsumjz2MgRyID9h1zUjnX/2MJX/3tIr5yx3F4JZEO//BymEoNOtwZ6kbsMJXQ0HOIj537cRzl0s8E5sULUVUjapw8o9IJk7j4jruZdEL8C5Iu24GqhAi3OpMe747Vd/DC/hf40fs/oiuQvAmp0+Oj8AivnE6SkCQd/5cN/1edfsPLowkF/LyfW4Y14GV0toOgIPLOvAms6/Fy9baB+WA9LhevPvoAF1986bCPmwrv338P2WaFeZfdwHl/eokCR3qXYVEUseTpkXQDz01hOUDEt4eL5v4OwbOaNm8bnf4uVMHC9IL44njKzp3MPCH9th89Ph92g2GAiOtnAc2o+RIwfvx4gsEgHk98T4y/y4sQRywqHt6eqPvRlpuLNSeXSChIyD8wL2eqV+UrHoFT99eiKAr/+jB6Qmk5eRYtJ89K740cgayqDLFCN2WkwiKUwMj8RASjRDCDnpqamj2cnt3IFFMn48bGrnS7fM4PeGrNb4Y0/0sbtlGs0/Od4xZy41k6LpgZ+462LRSmxKhHEASKjXraQqkbboo8OPzkbPVizzVhNOvIK7PibIndabmzqQ2jNTvmNsmkgzl5hPOG147gsvJCunWZaWlQkTOV3c59XF21kIqKzLeaEExGEOL3f0oV07gcet5MbAh3+DtY3bSaH8/7MSE5xDuHkoehJ1RVoA8N/v6fM2sm1YKej/YNLz/vgwM15PpcfDB/Mv+cOY6nZ4xhmt3CVwqyeavT1W+cKorCH/7fXUxYfBpTR2W2JcQgVJWVy87DpnZz+d//Q970RQiiiNk0tLylvRteIRQ87An94ODL6LJPwaY3MnPCT3ht6528e+BJCovOiTtHd0srYbsdkz793k0mYPa0T6chZyI0o+ZLQEVF9MdaXx//DshT14W1IjuteftyDPRGEz29CXbujoEeoRJB5G9nRxVJH95Qx29EH29UDf/kIasKkjDyX1/BoCK3NmZ8XsmkI+TLXKLw5v11nDslh/tu/x9Mlth3TtMnXUBDoItDTRvTmltWZKpNj9DYEr3rv+XE0zlzUpxEYVnB2muY7PcFebgxdU0ZRVEG5at4nSFs2VFDwpptjNv5uOVAA4782DkDAIGwgkE/vKTXsyaMQbVkplKp1DGOv5fOZUpR/PyJ4WKwOlGDw/MGGsbk43k/sYGxtT3a5fuMqjOYnDu5/3ksznzyZVZu2kZrYxPZ2YPDXoIgcI1dz592Di+v5or2MCcofspyc5lgNXFyXvRY/5pWRZlRz029Sex/efghsifP4PIzzxjW8VKhbeObHGzwMGvx8MI1fl8bPfUyHz33GH+58us885sraDm0maaWl1ky9mIAji05FoMhF7X9SU4Ze0HcuXav3YBu9tC0eQyiiKsruVfuk0Yzar4EZGVlodfr2b8//skp1Oold1yaCV9HRJrkI+58jkQGdAL8Qe/gpz4nAHNGJy6tTAVlhMX3+rAeU4b3jcyXq4smHSFf5sJPb+/uYO7UyUnH/eSke7hnxQ+R5dQNquW7l7PQPBOE5F2LVQY6B9JpDKgoCtJRAmmhQAR9751s455umg/0DNqvo7GLdx64n1HTpsadOxiUMRqHZ9QIgoB5GGXhg0jQSbsPRVF54eMGNh0awsVDUFHah6m1JIjoimYnHFLnqsOmt1FoKWRM9hhqXbVxx3YZzdy79xDL250snhRb9O9/Fp9A51C6jx7FxXEUr38zvoyNPV6++vAT+H1ebrr88pjjMs3u5c9z9g03M+7S24c1T+uhaEXmFb94iBlnTyOnpJin7/0FAaGAUuvhBP4r5t3FxUvWYpLie2E6Nm+mYm7iv288VFFkS23tkPYdSTSj5kuAIAjk5eXR2Bjf4yB5VbLK0zM29MboHXQkFCSvPKqy6igojHn8S08YzcP5heyYE6d8NE2i1U8j//U1zJ1HuDXzycJ6k0QkQyXdu3fvpFjvp2RscldwSeUippiL2bn3hf7Xaqr/y40vXM/5j54/KCcK4O8b/86tp9yKXgJXkhwZsyji661QmmQ18c2y+N6To1GV2CXdfd4bb8/gv4PfE+C5X97F8V/7FvPOXhh37lBIxpSkzDalNX7CovCPrK7llme3csm/1nKwI/Wka8+TT6LL1aOrGF6fKv/m6DlD7okfuu7wd5BvzkcQBPLN+XT54xtgFQE/CyN+Xigfy7Sj+gwdiVEAty92qDEZwXD0e2KNYzAuzLHTGopg9HlYsmDBiJckt29+ByUUpK25jcJjzhr2fPmlM1ly3fkYLVmceuU9nH7N7+jJn8al84agRXXgAFNmDc1bOH3ePAAiGcozyxSaUfMlobi4GKfTGXOb3Ct2FaucNhGWrOhdgbe7G6+zC0mnwxgn9CEIAmdOLyU/K7EIYKpExfdG/usrOrJQ5cyf9AwWPXIgMyJjj7z5IVedGf+CfjQzKhayq+5wlcp5q37ESvcHOAwO1uwbmD+hKApEYFzhOGaUOVi+MXGJe4FB11/G3R6KkG9IPdFaVtR+0cA+dAaJSCj6OU06voSi0QNDFi/d+w8mL1zMcRckfv+ZMGpUVUXIYNMugeQtwJ5Ye4izZ5RgN+n594bUE2j9NeD4Tmz12HSIdEX/lq73tsQ/VsSPWRf9XX/Q8AENnoa4Y1UBrj19Mc84Ev+mTKLI2tqh9fsy6KKeibEFsQ1qq07iqRljmG4z0+JO3VAcKo/d8yeev+lrlI4qTygumSq2rBJmn/ztgS/G0XhKhM8fAFXFaEjugY1FXhxZh08bzaj5klBRUUEwGOxXGD4SZ207ij39r0JOSVQ1s7Oxnq7GerKLSz8xISZZBWkk23QfiSCiJhC7GgpGix4lA311ulrqcIYExk6elfI+U0afzs6u3YQDbu7699lUKQKnNR/LxRPO57YPb2P6o9Px9L7f2o5aco3Rjtlzq/LZWpc4DFJlNrLPF6ArHKEzHGGMOfXEWkWWB/1NzTY9Plf0ztvvCmG2Hz4Bf/jMm4DM4m8k70IeDitYjMOrZFMFIWnF3cGDB3nrrbcSJuUfnpCEgr1t7gA1HV7OnFbMwnH5rDsYuxx5wJThEGrAjaDLjJ6OaAqjy23HtjD+3fyRn4leTJxwqgIFRYUsnpu4aeTFxTksr41vHMXjsjfe5af/fY/ZzhbMCZJfjzHr8e3cwhkLk5dRDwfPoR2ML9MzZsoEjv3+3SN3IFVN26h564VX8Rx73JAP2V5bi1UQ+gVePytoRs2XhL6yu/rfriVQ7RywrXt3C7ry9BMg7fkFWHNyqdu+hbodWymdkNkGh4lQUD+RRGEAKUuPfHCwBs9wMFr1KMHhe2o+2rSFpePTu2MqKJxCe9jNH167EoNk5KkLXsEeKOf0mefSrY9WtPUZNesPrWdyXjRXp7wgi3ZX4vDTXIeFnR4/r7c7AZjtSL2jsqqqCEd5Cx0FZlwdAWRZobvVR1ZB1CMQCYXZvuJNLrj1eynNHQ7JmIeZU5NMpsbn8/H000+zdu1aXn311RRnjW94VLdFvQiTSxxMKrFT3ZbcUPr7D1bh3b0HUZ+ZkIAuz4ahKhd9XnwtHbPO3N/J+bjS4yi3xQ95KQjIKShbzx1VQXMKlXO1be309IapVu/bz4c6G28GFLJFgW0Jwu2KqiBYrBj0Q/NSpMq+Vx9k8uIzmXfD79DbR86zoQDGNG/yDO+tZNHFFw75mI7CQryqmlSt/pNGM2q+JIRaoydIURDoeW2gToP/YDf509LXyhAEgckLF/Pxm6/Q3dzE5IWLM7HUlJAVRlxRuA9dcTaRg7VD2rdzey27H/wvex55m72Pr2D/0yvZ/+z7eDfuQfYOv8nk1iYvc0annrfSx0f4eMJ7gP/56gvYs6sAAXftNiZLUQPGHXADUN9dT2lW1CNXnGOnJ0ke0JkFWegFgZ/sbWCuw0JlOp4aZXBIsXh0FnJEofrjNlztfoqqouGnNS+soHzKHEy21IymSAY8NUqSYNGuXbsIh8MsWbKEffv24fUOL7TR5o4akMUOE8UOE65AhEA4viEc6o52lV/3qBemJU8aTwVVjSStoMo359Pma0NVVTp80fyaeFREQtQ1JlY3B6jIy6FBTXx5+sl/V3Lq+t18Y8VqFFnmono3Yb2BeUKEDgWOHzsm7r5ZViui0cSLH2S+CEBVFH7/9XPY/M9l1Ow+wJgzrsr4MWKRjmdODYdRXT1UlA5dDbigPGq8dnSkXuH4SaAZNV8SnAejVRAF504g3Owl0n34jltxhSkcm7gBWzwWfPVSZp56FidfdS0VU2cM2p65DISByHwy1U8AxsmVBKqHlrTY8sI29HlmjHk2dHYTgl4HKsiKn5XeofeZ6Z/fHaK0OH2D9ATByhz1sMExp0RCH/Hy7BXPctP4m3h83eMAjCsYx6HOqBp1QZYVbyixgF2BQc9fJldyen4Wf5w0Kq01RUKhQdVPhZV2HPkmVjyyG71RonJaNJl91wcrOOmK81KeWw4r2JIYNaqqsm//XaxddwZuz55B2xU1cXvH+vp6SkpKmD59Oqqq0tCQQvgkwYSeYARBAItBot0dNYBbeuJ7yrp372LO1FbyJltx9mRGpVju8uLfljjkWOmoxBfx0epr5YDzAFVZVbHX5+xhl8FMblbyXldmgxFDr0fnpteWc9c77w3Y3tnTw+OiA7fVwXpbPqUfbEftPR/84+xTeOu8UxGlxJ65BaeewaGa6qRrSZe/XxFNBn733e1k59qRDEkM+0ycJNPt6yYISF4vu3en1wZm/65d7NgYlYTIy4v+Fn1DTOgeKT5bwTCNEaOjowOdIGEZnUsPEG70oMsxEXD7USUGXUxSxWAyc8q3v5/ZxaaAOkIl3d3b3kV87kp8xiJQFWR0IOgQvFdg8wfRpeF5CLl9KOEI485fNGhbIBCg+u4Xh71erz+IJT993Z9/XLl2wHOfx4WlchYAVxx7BfOenMftkdt5fs/zjLZFq1QsJgNhOfnJ89zCbM4tzE44pqvDR2uDi8mzDt8pet9/nuDpFw8YJ4gCp1w9hXWvHmTG4nIMZh3NB+rRm6xkFaTuzlfCCtYkRk1Pzybq6x9Gp3Owf/9dzJn9xMA5ktQ+dXZ2UlBQQHZ2Nnq9ns7OxDkwgqomvJ4patQbKQgCHZ6oUeMLJfDURAxYDCEqTptA67P7Eh47ZUQ95um5CYfMLJyJgMCr1a+yt3svl0yK3Tjx5TUb2VlcRpY9tVB3X1X3prCALhzkZ0dsa+nsZHHQyY+mjuP8fa2Ee8NIP9cHUj6XFeXlsbHHmdLYVPG11BKQdXzjR98na8I8RH3i84USCVHTmloYOhKSkfRiTI9M1oGdaa1T0Okouvkmdt37ByY/lFr7FEVRePLZZwGYNm8eDocDQVXpam1l7NjY5fOfBppR8yXB6Xdj0hkR7XoEvdjvqWneUINUmnrew2eFaEl36obYjsYe8m1GirNMCce5t76FOv4Syi75NZJOjyCHCPt62Png+xz62eM4ygspXjqN/BnxXdt91Dz7EaY4FwSj0YgcR8I+Vapuex0oA8Pw/36KoiCZo3fQRp2R40zHcckTl1BmLuOuc+8CMpN42se6J3dQ2BogPKUAvUEiIit4ssr5yiVfGzS2ZFw25998WEtjw2srmHxC6tVeAEpIxpZEubWtfTlGYzGjR9/Inj0/JRx2otdnHx6QxJ7zeDxUVVUhCAI2m23Y4SeTTkRWVEIRhZm9wpjlufGrB5u37KO7I8KMKgfNGdJAEs06dEWJvT65plxOLD+RP2/+M1a9laWjlsYcZ49EOLfxIDArpWOHFJVQRMakKlTKQd6qOcQZY6Kdq3+1dS9fH13G3KpKft/ewY0e+KUhwHdOSD3xtSQvn7DLmfL4pOt1tnP/D2/g/EtOo/DY1Eq3lVCQ8aXJ1XwP7ezkjfu3UToum3NvnIV4RP6MX1bwjEk/n7HzQDVTVqceflv3/vsDnut0OoyCgG8EuqoPBy389CXBI/uwGM0IgoBglJB7+w55G53YirM/3cUNAVllwA87EW9sb+acv6zizPs+6L/jjYd66CNyDjyDzmCMll/qTeizimCylYbAfvQOCy3/ia+Y2kfEHyRS7WHMhbEvvoIw/M5Vs4zN7PnpyFRvnDX2LOrlev7w1T+MyPyGnjDtlTb2bomG4MKywgw5F4IROvceYs8/l8fdt2nvNmanUcIOYMg3sXpHYiE6t2s72VnzyM46BlBxuwfe/YpC4oLuUCiEobc8tru7mzVrkvXZSlz+lGeLztXpDdLhDmKQROwJvE0bd5WSV+5AEAQUvUSgwx93bMoIYvIMaeDO4+/kislX8JclfyHLGNsIMqMyIT875UPP1Km8sH0nEnD1lHE8tzMaKlFVlXZV4IJZ0XD3BXNm8g2blJZBA5BntSDHqAYdKvtf/ht5FpnR53w35X2UUAApBSmNNS9WY8810bCnm0PbB+awdPj86EyDjd2OjpX09GyJO+f4JYtTXueuLVt45733+p9vW78eAItOx8Hq6pj6Vp8WmlHzBcTr9fLQQw/xxBNPUFdXRygUwql6Kc0pAkDxhPG83xvvN4koDM9j8GkgoyKl6Kn5x/vVzK3MIRBWkmp96Kefh1+wD3p99Lx59NDOxG+dAlkSNS+tTjjPvodXYJyZg6SPfxFS1MEKzOmQb4hgsmcPef9EXDDvAtZ/az06aeD6M3Hq8ntDyDqBrMosWg86Adi1rpHxRYs59OJamt/aju2ghV0PDjZs3F09SDojJktij9vRhLxh9u1NnBviD9RjtlRhNlcAIn7/wO+KKKT3/pP+bZOUdI/KjVYs1rR7OdjhpSLXnNBbVpnbwLzvRD1d+nIbbZta01htHEQBVU7+Hc035/OTY3/CMcXHxB3zO1eI3c7UpRHGjR7DTU6FGUaR4ydPZrU+GrZ6fNNWxh/xtdRLOu49Jn0BuVhhqlAgwP9d/03WvvDvtOc7uHUrF9/7QNKQ05HI4UBSfTBPd5DOBg/HnTeWnGILh3YMDGu2dnehtw80JFtaX2Xrtm+z6eOv4/HEzpsZPX4s1TNmJxXP8/v9vPTii4wuKuIHP/gBAC+88Qbr33sPvyhS29WVUNj1k0Yzar6AvPvuu9TV1dHY2MhDDz3Ev/71LxRU5pYfVpw1jssGonL9SoaUbT9JUm2T0OMPs62hh0uPHcUJ4/L56EDiTH1zVj6e4sHej6yCIsKh6F3dxO+ehm9DK527Dsac4+Db61DaQoz92okJjzV/lJ3TfvY0y/76Avtr0tPkUNUkWatpIIf8KVeS5ZoEdjekX+3Q3ORm5Z2r6Gj10LqvC1+uEb1Nj+CP5hN07OxAObaIUIcXOiL4J4RRDgwO3+x8fwPF49Kv7Mne6WbR8YkTqsPhLgz6XERRj16fRTg80K0uJvnA9Xo9od4mjbm5uRx//PFpr/NIRudbcZh0rKvpZN3Brv4QVFwEkHuPnz0tH+++4YcFBAFQM3PTM1kO8cslqXtTfjhjEi+Pzeeu006mLhim22jhuP+8xf0N7fzulMS/raHywt134Opoo/lAegm0YXcXYVnFkp9e0r4SDg3qTH80HfXRSsSi0Q4Kqxy01w80DNs7OjFnDTRqGhoeJyfneAyGfBqbno47d2T6dLauWht3O8DD999PSBA47xvfIC8vj69/9asAvPHee/h7v2+fpWRhzaj5ArJ3717Gjh3Lj3/8Y+bNm0coFOIY3QQcQjT3QrToMI7NBkAyZUYvJR4jVXQdTaJM/vU90BY9IUwtdTCtzMG+VnfC8eHdb2A0xb7T6nsvequJiu8cR/MTW6h5ZfUA1+vBN9fi+7CFCT86PakY1p3f+Qpv/vLrzJ1Qyk+f+IDTfvwU/3h+J+4Uunf7fH7MYvRio4TDqMPw+Pg7GzCbUtPrOGVKMXc9vy6t+RVFZccDWxGn5rLpuT10N7nR55sRFBW57yNyhSmYWozgU1FRGP/NJdGmYUdRu3U7E+an34Cvq8rMrNHxE15VVUVRQohS1AMUDndTXTMw9JYs2mmz2fB4PKiqisfj6deGikeyRGFJFDhzWgn//KCGPS1uzplREnPc/qef4Mkbn6a2s7JfkTl/Zj5qZ2JNoZQQxZQ8NakQRsCoS68b9PxR5Rj0eu6qbgLgUE4RPxpdgs0y/DyyWCGTxj07QRDILUnNOFFVld9//Rzev/s7lE+I3bk+EamEn9xdAURRwJZtxJFvxt018O/a7ezCmnU4aV6WA7hcWygsPJO8vMV0d8f/vapt7dQ9+xxr//tuzO2hUIg2l4vS3Fzs9qgHe+KUKYwuL8em11OWG/1NFRYObo/zaaElCn8B8fv9lJSUIEkS55wTbTvf9vctyM4gSlBG8UWQHNGLmGiQCIcyEHuPwUjGWWVS6/3U5IyeAMpyzJRmm+nwhAhFFAxxGhOGZcAUp+RUEJDlCJKkI6uyBPOy0zjw4Hvs/NlLqHogrCLYJSbedgZ6S9QwatzXzUfPH2DKwlKmnTj4RKnX6fjqacdx1nEzeOB/f4MvNI2v//ZDCix6rjhxNEvnl8U0jrq7O8nptb3e/dWDmPOyOeGHsatOkuFqrcdhTa19xVWnHcO9H7xKOBxBnyC0diQffVCLodDCwgsn8d7da/B0BciusBMJRvrF9qSwjKPQgjMkEbEcNrJrXl+LwWai/KRZAPS0NjI2Q/3DBiOgqoePnZc3sGpNBBKZIXl5ebS3t+NyuQiFQv0lr0kOmZAfnz6RVneA8YU2Tp4Y+8LRsm0/ztBJnHOpBVEXNWp0egkVkEMRpDRaVQxaniikXy4ch5AgYtQNrcrSKyt8O8fEZUXZTCkZurbKkfgVlVir0en1tNXWxNgymNYN0RDp1uoAV195cZLRg1EioaSl50FfGKNVhyAKSDoBvysUFars9a66urspOKJlgc9fi6rK2G2TQFVobn4eVZURYoTry888HXHZbXTv3Q2nLRm0/cDeqMfqoiOafoqiyFXfjrZpUFUVv9+PJQNGZqbQjJovIIqiYDQO9Dboi6yE6l2Em6OuS31x9C5SJ0gEMuReHrwQkp60ZdnHrt0/QRQNTJ70G0QxtXi0rKZWhu4ORLU+7EZdv3BZhydIaXbsi3hZx9t0L74h5jZrdg61Wz5m7NxjATDYrUy56WxUVSXs8aMzGRCPuNCrqsrKx/fgdYX48N/7GD0zH2tW7PcX8gWwGSS+edkMbgG27ung4f8e4N439zC/PAdJJ3L+seXY7Ab+vfIg584RMSoC9SveZW/bBMZyKOlnEY/O1gZyc1Mrj9ZJIsVmlV2Hmpk5LnYpud8XwmyJGs2qquL+qIkTvj2z/yTsdwepzC/iwLu1TF5aBYCggrexFUWvIvQanLoqG9IHftxCG5w0C0VRUFHQGdK7208FQRDQ6ezIETeqqiKKJnJzFw0ak4iKigp27NjBzp3RBOPy8uE1kwQosBt55Jpj4w+IBDnkm84Vt44ia+y4gevNM9G+tYPiY4ZhBAhCVOkyA4QBg3FoCr6lRj2CZMyYQQOwee8ejPmHDcVD2zZTNGYc05acxooH/k4kEkKnS7zePf99nitvuY6caYvQWdPXBlLCgaRGjRxRkXp/Ewe3Dg79enucTBx9uDloMBhNvjcaSwiFulDVCKFQF0ZjwaB9jznrdNTTlvLyNd+JeezqzZtxiGJcA10QhM+UQQNa+OkLicFgGKSRYRyXRbjFh+vdekSrrt+oCbsC6GwjJBWuqKhJLgR19Q/T3v42LS2v0NiUenKeopJSmwRZUdCJUa2PPS3R0FNXgvBOg30Bojn2yWnC/BPYvvK/g14XBAGD3TLAoAHoaPDQ0+7nlKsno6qxT0h9BP1BpCMk22dOyudPNx7H6z9fyvSqbB7Z18wNT23mvpd28397mvjOM810dZexd9VBLrjSTCjIkCs5OlubyCtNXqLex62nT+Cnz32MHONiFwhF6PzlOg70Vhpt3NyMzaInq8jWX60WjCjYzTrMzhA1B518vLIWAM/BNrAf1uEoPWMmiiojSzIhn5/22mZMtpGTmjcaiwgEm4lEnChKAKOxKK39J0+ejCiK/Pe//2XcuHHYbEn0WNQkmcIpEPb5sRq8gwwaAOvEXHq2D1PtVRRgmNIDfYQFob86LF3aQxHKUwyRpkpTQwO5VYe/96/9+be01hygaW+0JUo4kDh8F/G5aW9qIf+Ys4Zk0EBfTk3i85goCSi9+lAVkweHUH09TorzDqs4y5HojatOZ0OWo7kugUCCAglBQPL7Y3rWD9bVUVk6NGHWTwvNqPkCYrPZBhk15in56PJMBPd1Y1tUjiBFT6ahTj/GgsSx/6GiplAK2tb2BkVFZ5Ofv4S21jdSnluGlBq4GXQiYVlFVlSOGxO92yjPiR9qUeXwoE7RfZSMn4SrPXFZ8JG01boQBKicmkdemZW2Q664Y4P+ALoY+QZ6ncjFp42j9p6zeeqG48m1Rk/sLYrM//7oVE6541uUHr+AMVPMvPi/z/LWzb+h/a2BonGqqnKgzYMc5+/R1e0kr2pazG2xOHv+FIKyymMrPh60beeGZroFla6W6Im18e1aJp47/oi1QEBREYMyQkDGsLWDwuX1lHhkwh0+BIe+P8DjKCtk9G9PQSgz0LZ6D4d27CevLD2VYoBQRCGVPGirdTxu927c7uhFzWoZbCgkwmazcfHFFzN79mzOPffcpOMFIKWFJaBp9TrKx8S+2BceU0SkaZiNWAUhpd9xKiiCMOTWJk3BEJOs6VW8JaOkrIyelqb+55XTZgHQ3dyI2ZGF2ZZY+fiDe39ATkHesDpvy+EgYpKGkEaLjqAvEhUc1QmYbPoBXsNQTzdVhYe9MGqv510QJEKhqFEbCsWv/BMkCbm4mNqagYUPnZ2ddEUiTJg3L+339WmiGTVfQAoLC2lra0OWD+cHCHqRgu/PouA7M7CfdNgtrrpCWIqSy5YPCVVNeM6WZT8ez15ysueTk30sLvf2/h9kMqLVT8nDT9m9YZAubwiXP4wkCthN8cMXna2dCOHYOUb5lVUE3PENk6Nxdfix5ZrQGSSyiyy42uPnLoX9QaQEXYUBRpXa+cW357L/rjN5+er55B1hnE276hK++vtvsOjHV/LRijDhzsMtGH752i5O+cP7/Pi52Po6gVAYc5qqxLedOYlNhwZX1zj3d9GYpUeJqOza2oJDkigad9i7ErDpqGgPYsu3YlNg+tXTyfvFAiIXj0MOhBH1UjQWdQS2sYX0vFtHR0MTeRXpt4Rw+cMIhuTflZycBbhcW2hofByDIR+rNT2jBmDChAmcd955ZGWlcucupPx9j0f7wTbKZsQ29Mw5JoSwMizZAEHMXPhJGYZXqjMsMz3FPl+pMmP0GDxHGDWqqlIxdQYnXn4NepOJrubEZcoBr4+F1/9yWGtQwslzamw5JuSIgs8VwtUZwJ470LgTwmHM5sPnAlGKhrhlOYDVGr2hsNkSVwyKNiuBwGEPdjgc5sn/+z8sgsDEKVPSek+fNppR8wVk0aJFBIPB/th+H5JVj3FM1gArX/XIZJel3xAxFeRI4pOhP9AAqJgto7FYRqMoAUKh9tTmhqSlkAAVOdETYV2Xl0OdXkqzTUgJyljsY2YRaNwVc5vFkYWcRkdavzuMpTch22w34PfE3zccDCU1avrQ60RmTor9N7OWlTP1xDL2vLoSgE5PkMfWHGJWRTYvbm6ktmNwmXQ0CpLeBWf+5CpqYswl94RQsg0oYZnGFYeoOnegfPqkr4zDMz4LW6GFY+45iZwyO2ajjhlzSjGXZaMc8CPlDTxpV55+DKqg4GxupmhM+i0h3P4IkiH5qa6o8Bx0Ogft7f+lovwqhKPCmxFZ4bg1x9Nw24cc/M0Laa9jEDojRIZXoWSQIoQj8X8Hqs2Aq7pn6AcQxWEZXqFdhytv/MPwSoUVldwUEp6DoQ4UJbXfqMNiRu39Pft6eji4ZSPn/PAnVEyZTmHlGPatWZVwf5/XhylveKEZJTy439nR5JVFw5hth9y017nJK0vsWTfoox7pULiTUDjqsTcYEodtdeXl7Hrk0f7nGz/8kK5AgK9cdNGQQ4afFppR8wWktLSU/Px83n03dpnekaiKgsmcWbduHxFFRZ/g7izc6xI1GvIxGKIX6VAocb+cPqI5NcmNmrGFVow6kY8POdl0qJvpZYnvoEVRQH73npjbBEFI6+IfCSv9CX7bVzbQ1RRfNj/kD6LTZ+bkYS3IJeKLeoVWV3ciKyp/vmQ2ekngw/0DjUZfRwPmIXSvNhv1eEMKDe3OAa8HRDBJIpGwDN4wYyYONL7Gjc3jlKtnxpyz9KQZSBGJUecOFnBTbQKh1kZK4yQnJ8LjDyOl4KnR6x0cM+8FZkz/J5WV1w3a7vOGsHX2Nm01ZMB7oTNBeGj6HrLfw8u3PUZbQ4BE0QvjmCw6P049ZDoIUWCo2pxyTzfVF16N3BbVYDIPo4qqKxxJ2lakte1NVq06jk2bLo5r2IQiEQ61HPZiiqJIt8vNzg9WkFNShqXXwzZm7jHUbh0cXu3D3VyLw2YAaXhJ64ocShp+cuSbyCows/GNWjrqPYyacjhp1xOODLpJi4pHgt93EL+vFr0+D0lK7OWatWQx4SP+PHu3bKHK4WDStNTD0p8VNKPmC8rixYtxOp20tcU/oY20tLWsKEgJbABFid6liqKpP2Pf2bMxtbkRkrptAYw6iZMmFPCvD2v4uM7JKZMTJ3/mLLgUqzDMPIReBPHwZ1wwarBK8ZGEA0F0GbojOrhuH++vepmAx8OeFhclWSZG5VkYV2hnd8tAnZ7O2h3k5aSf5ChJEj86bSK/ev6oVgBGCUkFryeMLs1cA6PdysT/dzbWwsHJkEphPnbFhtmefgjC4w+jS8GogegFoaDglEFeGgCL1UCDXcJ4qYSUgf59gs6MGkrvuxbqaOaZm59i73Mv0eAsx69kUXJs/JyH/HmFBGtTD5kOWuMwEoXFXpXb0K4NhHw+hMjQ+1EpwKFA/P1VVaWm5o/YbJNwubfR3vFOzHGvrPqIZ2+6tv+5qaCI//z6Z3zwxEPkHKFNM+mEE+lqii+I2bTqJUomTk3/jRyFEg4jSomNGkEQOOac0bTVusgrszJm1uH8mYOdXRiPyv0xGAoxGorodm6g27keh2NG0nUETSZMyuF0hTa3m9JR6eevfRbQjJovKJMmTUKn07FixYq4Y8LuALJu5AybkKyiSxhH7/v6qUhS1KXa57FJhkxq1U8At54+EZ0osGh8PufOTOwuNhdWYCKxbk+qxqDBpCMUiJ4oCkbZExo2oWAoI0aNHA7z8XYBWZbRGQw0OQP9idFl2WaanQPfW1fDAXKL0s9TAThn/mT2dwQG5G5JRgnMOsItXsQkDSTToXD6WKbOuXBI+4aCMoJ++DKQOknEGlTIqpxGuHX4Cqp6cwnhQEvygUdw8J1V+EIWVq4u5Zu/nsU5v7xkUNXdkWSNcsBwmlsK4tCFHSO91Xi+HrYcqGWyfuiXmzy9jhJjfK9IINCIz1fNmNE/xGqdQFdn7EaNDe3tiKqK0nsB97Q201N3kAkLFnLm9Tf3j9MbTJjtdna+F9s4qtm4mtFLh6YLdSRKJLmnBmDi/GK+cdcCLvrJPKQjPse61jZsOQNvAgRBoKDwDBobn8bpXEdh4RlJ59fb7eRuit5Qer1efKpK6RDEBD8LaEbNFxSdTsfChQvZu3cvq1atGnDh6cPV1A32kZMqkmU1lijsEWuMGjKRiLtfn6YvsS0ZikpKbRIAxhfZWbNsKY9/az76JOqdYU83zab4d2CCKBIOppYHYc0y4unthu7pDmLNjq/BEw4G0Q9Rw+NIRGSsRguX3vATdAYDLn+YLHP0YtDlDfLRgYHhvc72VvLKhyZmJ4oiFr1EIHg4wdAUUTFXOijqDiHYMxeLt5Xbkd1DuzjPHJ2DK0HoL1VCYZmckIoqyog9w68YNNqqCAbS6890cI+fy342h4u/k405Lzdp5Y0gCCgGCW/L0LyPqiwPubrH/87zIIIc8nJFXRcH1KEblgJgTvDb9Xj2AOBwzMDhmIHbs3vQmDfXrcO1dyeenAIEQURVVXSRMCgKXY0NSEdVH06YfwLvPfbAoHlCzlYC/hC2yuF7auRIck9NH458M/qjPI4tHW3k5A7WkBlddT1ZWbMoLjqP4qLzks5dlp9Le2k5npZWWnrDc8Wfs1LuPjSj5gvMwoULkSSJd955hw8//HDQdk9rD7o4YnCZICwrCT01BkM0FBQMthAINgNgNKSmDaIAojgCBpk5GymB4JbOYMDbnVpPndwSK0FvBE93gM5GDznF8UMn4WBmwk+C3sSMKS6E3ru/sKL2G3If1zkJHVnJoqo0dHkpHD97yMeTRAiGD/cOU3qClFRmgSCgK8hctYql0IwwxB5l2Q4jYkgddrh1/YYGdlaYaVv3Lvru4cvCG7LH9ydypoocimAqGUXBnNRbRRiqHLSta6EngaRALMIdPQR2eTGMTk+vp49IZwfGXD1Nda2U+zz84eT4fZ98voPs3XvnoM7oAHs8/qQtKgLBJgTBgMFQiNlUTiDQNGC7Isuseeh+6GyDynE89tKLvLFuPYIocvndf+Tkqwd31l7wtcsJeD201Ozvf825Zx27n/8LkxYMr69X/7rC4ZQ8NfHo7OigqGCwqJ7BkMec2U8wdeofEMXkeT+CICBNmsT+2jqaqqvRqSq5ufHbinyW0YyaLzA6nY5rrrkGiPaDOhpfuwtzXhKBsGEQURR0CRJrTaZiJMmCx7MHr2cvBkMBen1q5eWpVj+li2hyICjxRez0RhPensTdnvsoGZeFIMD6Vw/idQYpmxC/AiESDKE3ZsbAtGSb8HU6ATBIIqHeKrSTJxYM0OjxNO3DYTGiMwz9uHpRIBg5QjrAF6G41M60nx3H/HNT87qlgqSTEqr1Kz4fnQ8+hH/H4ItidKFCv6L0UGne08miS6ZQOH8xsm74eVeGrImE5HTzXdL3duTOLkS/ppmuv29Ja7/We5djmmzGtmhoRq/SehBDaR4NH2xhnihTWhpbDVhVVbbvuIGGxsfZuu27g5J8f7injm8nqdCMhHvQ66OVnaqqEA53DjBifeEIQnE5P//j38ifOIWOZx5izx9/hdTdQfGY8YyaOrjLtyiKiJLEwc3RsIwaCfHgHb9i5TsfM+H876X7ccREkcNIw0g2dnd1UlE0NKPzaCZ+5Wzq//JXmmtqyDOZUtIB+yyS1qrvv/9+ZsyYgcPhwOFwsGDBAt58880BY9asWcOSJUuwWq04HA5OPPFE/P74OQp33303xxxzDHa7ncLCQs4///xBF+DFixcjCMKAx3XXDa5O0BhMeXk5VVVVBGKoY4a6fdiKhqaEmQoRWU3Yh0MQJLKz5tHesYKOjnfJzk4gB38UqbZJSBdzXiliguRNg8mMz+lMbS67gXHziti9upnsIgsVkxMYNaEQenNmwjV1e90UTIpmsmaZ9XT5ouEhQRCYWHQ4r6e1ZlvMu7x0MEjgDx72oAgq6PUSVouhv/IrU2QFIux7cnBYAaD17ntou/de6q65BjnG30fSS/T4h9eN3hpQMNmNGB15BHKG3paiD1FvQU2ztMgVSP8mJHdSDs5CC36TjvYUFYZ9W6tBDVFw7RnRZOEh4F23kcI7fsdvL7iEUab41wC3Zycezx7Gjf0JwWAz3d0Du0Z3hCJcXJK4j5aihhGFqHHQ2TU4n0YOBVB7E5XnzThcfXfJ7b9OOO/kRSfT3atlU/f2o4wqkJg5OR/JnDjxP1WUcBgxRSmHWESc3ZRmqJnk5Nkz0Ykize3tFGfIUPo0SOusU15ezj333MOmTZvYuHEjS5Ys4bzzzuvXQ1mzZg1nnHEGp512GuvXr2fDhg3ccMMNCS2+999/n+uvv561a9fy9ttvEw6HOe200/B6B8bAr732Wpqbm/sfv/3tb4fwdr+cmM1mQqHBrQFUZ5isUSOjUQMQTuKpASgru5yenk14vHspL7ss5bkVBCQh8+GnvvyBeKEKndFIwJt6fsbJV0xiyZWTOe+m2YgJcgIi4XBGPDVNq1Zhsws4xkWT/MpyzNR3RS8odV0+yo7w1LQ2HKKovHJYxzOIAv5eD4gcGY68WnLCKjFF9BS/n55XXiH3qitRfD5cby0fNEYyS3T0DF0TpqHVjT6iIPYeXyc46NyeXrfy4aLKCna9M+39RFFk2i1zyT61ktb/7E++A9Dz5jbsS9IXH+xD9fuR/REMU+dySZWFCRXxjZKeno8RBAMVFVeh1+fS07NpwHZZVXEkaYQpCnoUNXqOy89bPGDb62vX8af//THTTj0TgPnjxjD51l8AYDcnbuQa9HkRer/VO1a+w5k338HJdzyWcJ90UCJhxDQ7lx+JzuvC5MiceKosSfSEQuSOzUB536dEWleFo6W/f/3rX3P//fezdu1apk6dys0338yNN97Ibbfd1j9m4sTESYhvvfXWgOePPPIIhYWFbNq0iRNPPLH/dYvFQnFx5pqZfZmQJCnmRVoMgSUvM3ccsYgoasKSboCCglOYMf0fiKKBnJz4MfejkRFGxFMDYFWdKCE/knFwTogcDqeV+6I3Skw+viTpuEgolJFE4c1vHWDJDw5XO0wtddDhCbKryUVNu4drFx1ufNfa0cXMk74yrOMZ9SJefzRct3NDI8GCkdE8AvDnmSicNvjiGNixAzUYJOvCC/Fv2Ypv0yZyLvn6gDG5ZVb2HnQyqsCKwzyEi8gft3CkJquQo+B/MgSxJY3SQpVlhBS+y5FgAL1u6Po4pQvL6F5Rl9JYuUfGPH3oBm+4dieGomhOxoyiClbU13BanLE+Xw0WSyWiaMRqHY/PN1CuXwZMSbxFOn0W4bCr/zxnMOT3i4x+/PFGzv3+LcyZcvgveOrsmZhu+xVFSfJGCkZVUb9zOwChgB9zWWY7xMuRMMZhGDUoCrfe9zfGz57D9UtOTD4+CeXXXcumt96kqqpq2HN9WgzZPyzLMs888wxer5cFCxbQ1tbGunXrKCws5Pjjj6eoqIiTTjqJVasSqzIeTU9PVP3y6CSlJ598kvz8fKZNm8ayZcvw+RKXVAaDQVwu14DHF5VHH32UN998kz179rBjx44BBsyaNWtobBws9z3SGjXQK76XglhdQcGp5OWdlNbcKqn1fkqX1tsqsKvdiLrYXpNwMIDFkfmQnRwJD9uoCbS3IQkK5qLDRtSCsXkYdSLffzJ693vShMOual8ghLV46HfjAFNLHLyyqRaAxtVNTF5SNaz5EiFY9US8g0NIwZqDIIoYx4zBOGE8oZqaQWMmjsvlwLYOHr/5Q7p70mv8KcsKe4sMdF19+II25porCBUnltFPBUmyIHsSNBs8ch1eF1IGDN9UUMMR9EVDD026n3sA0RI1cCeWT+b5SPy5QqFOjIbo99JoKCB4lKp4eyjCD/ckNsZMpjJUNUQw1IrfX4/JGK3cURSF8KFqpo8b6HnQSzqWzE6eKzTztLNp2L2DQN02dEYzkimzffIUOZKwMCEZUmc7Y2bMpK2piftWvD/s9ai93uKiL0v4CWD79u3YbDaMRiPXXXcdL774IlOmTKGm90Ry5513cu211/LWW28xZ84cli5dyv79qbk8FUXhpptu4oQTTmDaEUqGl112GU888QQrV65k2bJlPP7441xxxRUJ57r77rvJysrqf1RUpK9E+nnA4/Fw8OBB1q1bxzPPPMPzzz/PO+9EtRUaGhpYvnw53d3d5OcPDDN5O1woI1f4BEQrb6RhNuz7pFFUlZaT74975xwJBjFn0N3bR/32t7DlDs9Yal7/MXoDdGzb1v+aw6TnplMmUNvp49oTx1CcddiTIqDCMA3D7597HOsPdrK1phmzL0LVhMS5D8NBchgIxuifFWlvR8rLRdDr0RUWEYkhODl/XB6hriBtlWZev3cdXV2p68wIAlS1h5gxaWDughDUEwkm1jRKhlGXS8i5J6WxsqszoSZNJhEEFcU7tHCd0t1G21Pvgxw1Ho16I0Y1fjm+LPv6FW9b217D6RwY1jMIAu5I4iRvm3USAC7XVlzubdhs0edPv/c+eZOmoj/Cu9pS08PTv1zHxjcOxpzrSMz26G/9rT/fTeWkzOu2KJEIwhA9NZveW0F5aSk3nnoyd1x2MQ17dg+rzxfA3sZGsNkxmUbO4zrSpH1GmzhxIlu2bGHdunV873vf46qrrmLXrl39H+Z3v/tdrrnmGmbPns0f//hHJk6cyEMPPZTS3Ndffz07duzgmWeeGfD6d77zHU4//XSmT5/O5ZdfzmOPPcaLL75IdXV13LmWLVtGT09P/6O+PrW7oc8bTU3RJLYzzzyT73//+xxzzDF89NFHbN++nVdffRWj0cipp57KRRddNGC/1r2N6EeoO3cfETl5Ts1njRKzG2vr2rjbnToT61avxu8bnFfTWl/Hb++4nd//8g5ee+oJ5EjqianW3ImUTRhefosuK5c9jVXsfHPzgNe/t3gsu395BsvOPOx+D3u60CXR7EnpmDodv7hwNrc+/BGSOHxBukTos414awf3MVK8XiRrNIE2sGsXkfbB/cMMOpHb7ziBa78zE3uPzIYXB1cDxkOWwagMTIgG0FXpaXj5pfTexNHrMhYSdA/2LMVCEQxIDM6NGxEEFSUU+/urqip7pk6i/YcXEtm3sT8Btw/F3YV1vIO8O/8JgE6SqJAT9Z9K7DX+6ZgSkjUKN5vLsFrHU1PzJ7ze/eT15tXs37yRc5aeMmDs+0/vxdMVYN0rB+lqTpwfJ4oiE+bMorrezdTLf5J4EUMg6qkZmlGz88P3WPiVqCClKIroc/P4uH543sOG5hYcBZlJPP60SPusZjAYGDduHHPnzuXuu+9m5syZ3HfffZSURF3eU47q6Dl58mTq6pLHcW+44QZee+01Vq5cSXl5ecKx8+fPB+DAgQNxxxiNxv4qrb7HFxGPJ1qpM3v2bAoLCznzzDMpKyvjP//5D62trVxwwQWccMIJg7oGuw52YK8cWR2CiKp+7owaALEwftxcduQQCYX4+72/5Z+/v5ctaz5CURSCgQBPPPQgF158MdffehvBUJC/3PMbAgkq/zJN+fHzuOSGQnzuwRcj81EJtq6mahzWzOjILJhSxb8umY3iH0bjxBRQFWJr1aiHPU6xvDRHUp5noVUvYG31E4xz0T6a1WuilU6Bo8YXnb0YZZgRKIO5hJAntUqqzc+8SzA8vF5DSeyHfgSDjkivLMAggkEso7OwnHoBrXfcSt1Zx9Dzt5/2b5aKqhBQkQoPy+yXihHq22JfByTJiixHDeKionPJzp4/cC1CauHyMWNuxuerJssxm/z8pQAoHW2MqTi8jp52Px31HhZfMQm9SaJmS/IGumrrLi65/mokU+blLxQ5gjjEnm9+t4uiisM3Ql87YQH/XhlbSTkVVFXF09FOZcnnO3d12LdqiqIQDAapqqqitLR0UDn2vn37qKyMfweqqio33HADL774Iu+++y6jR4+OO7aPLVu2APQbUl9m+nKPnL1lrKIocvXVV3PhhRdyww03MGnSpJj7qU1+imaObG+PcBJF4c8quplfi7vNI6ucf9U13PLzO1m8dClbNqzn97+6k/vu+TWzZs9m3NTpmMxmLrr6W8ydN5cH7vvDsF3CqSKIInnTpiEryX/WPe2NOByZO0mPmjyabFPypPOG3Tto2LVjSMcIHHBinzX4LlIwm1B6jUf7qacgJUj+lCMK2ZKEp8zCe6/tY+Xv1rJrd2xDyOML0djhZewbDbRdPp4c+0CXvM5iA5NKwxuvDOn9ABislYQCzSmNDUd0LLouueR9MnbdsZpIkvJ2yWYi3BCnhYMSQjRIWM/5BmVPr6Timbdw/XcFuydNpumKJSAIgzSFTsi2sKoudpjNoM8jGIr+DYLBtkGtUoKKij6FMGlhweksWriOOXOeQRR1ROQISFJ/wjBAW68AYfmkHIqqHLQfcsebDgBf4346OtyUnfjVpMcfCkpEHrJRI4giyhFK8bNHlWNGZXXd0Cxtt9uNEAwwqXxobVM+K6Rl1CxbtowPPviA2tpatm/fzrJly3jvvfe4/PLLEQSBW2+9lT//+c88//zzHDhwgNtvv509e/bwrW99q3+OpUuX8te//rX/+fXXX88TTzzBU089hd1up6WlhZaWln5tm+rqan71q1+xadMmamtreeWVV7jyyis58cQTmTEjeaOuLzrFxcUIgtBv6AHo9XpmzJgxKI+mj0Or9iCFBUw5Ixt+ktXUEoU/K4R8HtyyBUN2/KRGhxgV/RMEgYmz5nD1jTfzo9vv5Oprv8vSr5w/YOyiM84mOyuLt55/NuFx/S7/kF3QR7Pp74+l1H/Q1d1OVnZ83Zx0EUUxaQfzhl07+Pedt/HvX9xG/c5tCcfGQgGc7w6+29fl5CJ3dqIqCpH2DnR58Y2aiC+C0xNm6eUzGLuxE32+Gceje9l1+yrWbzp8MWjv9tNy1zr2PrAVgDnTB9+9iqLIqG9eAB/kUPPIE3jb4zdAjIfBPoZQMDXtmGBIwGAfXrWiORDBFoiw95+JP38pW0c4XmsFOcKRIoBibjEVL69l8p7dCAYT++bMQHEP3PeEcXP5KI7nx2Kpwu8/hKKE8HoPYLEMvLHtDstJS7r70Otz+pXGhf5i7MO4OvwYLTrMNgPZhRZ6OhJ7Uus+eoWps2PfGGYCWY4gDjFROBIKDcgVAsgrKqKp2zmk+Vpboy07Sj7nVcZpGTVtbW1ceeWVTJw4kaVLl7JhwwaWL1/OqaeeCsBNN93EsmXLuPnmm5k5cyYrVqzg7bffZuwRNe/V1dV0dBz+Ed9///309PSwePFiSkpK+h///ve/gWi465133uG0005j0qRJ/OhHP+Kiiy7i1VdfzcT7/9xjMpkYM2YMH3/8cUoegeqVO+heXU/VtfE7+2YKb3c3Pc7U1Hc/C6j3VNJdsGjAnd0gYmwSRZHCstgh00u+/V127t5Nd4w8jz5qtuzFlpuZE8n+fRInXZO8ND7s96IbAXd6Ijb/93XyKyopGFXF5uWvpb3/tB/NRYiRB2SoHIUaChFuaiJ08CD6UfE9w0aHgYIsA3qdSOH/HsvCq2eybVoWjrBK6XM1/Puhj/loQwP1f/6Y2lITE5wyuxfE13LSGc3k3FyJYU8lba8PbkWSDEP2BEKR5G03Qj1dBEM6pCS6Ksmwnj+W3JvmQkimPkF5t9zjR1d4OGQdPrC1/79VnQnU2Im71uOPQ1UERr0+MC+tIK8MpxL7d5WVNQdFCdHY+BThcCdZWQOrkrrCEfL06ck3NHR18cTrrw8KWwU8Ycy9PclMdj0Bd+IcpX3r1zHj4uvTOnY6KLKMpE+/YiMUCiKHQzhyBt6YiJEI8hCV1vc1NqHq9GRnZw9p/88KaaXSP/jgg0nH3HbbbQN0ao6mtrZ2wPNksdKKigref3/4pWpfZBYuXMijjz7KwYMHBxiQsXBtbGLcVcdiL8oe8XUVtrbwgGf4cvKfBO3vPohdVRl1Y2KvCkSF8nQpqoDq9HoWLlzIy888ydU/uCnmmAOb9mCyZcaosVlCZE2cnHScQSfgi5HsPBxUCUK+IAbL4JO0qqrU79zGzFPOQBBFNr/1GqqqJjYgU8Q0YwYIAp4PPsC/ZQt53x3cx+dIIr1Zpw5bdJ1nXTGDugYngX9s54R9Xpqa6ij0K0z/7lw2bm5i8ezEjf2sRaPQLTPT+Ew9tb95FWNFFiXfSE0zxGApISQkT/5t/XgHo8cNP7G76Ljoexn/vZkc+O0GfNPzsRQOzq1SXF50NgE1FCBSt58D51zCuBceQT9lPqLZghKn5YTj2z/Hev61iLZYOYxCNP/pqL+53T4dq3U8+/b/CqOhiNycgX2VnJEIE63pVeO8/PbbBF54HHXMwN9CJKz0d7ne9WETPlf8z14OhZBDfsxlI+epiebUpG/U7N6wHmvh4PSLts5Olh43P8YeyTnY1IwpN+9z2x6hj8/36jUAqKqqwmKxxGxaeTReKcTBRzey9V/vs+u5ddSs3EHLrnq8ne6M534UGkx4DfpPRBNnuCiNm2lbcHfScQ6bjYN7Ykv1x2PB0lPp6OrG64kdv/c5m5i+ZOhNJfuQg34CwdQ+75e2dhLoako6Lh1Us4i3LXaysN/twu/qoaByNAWVowl43Ph6nBk5ri4nB+uCBbT+5m6UQADHGafHXp+qUruyPmby+qjybEpuO5a68ysp9ci0Tc5CrxdZcGw5en3y06Qxq4Ax372M3MsmElRTy5GBaKuQVLJ3W7fvo2h85qpSDHYDueeN5eC/tsX83YveZlpv/Sb1F55I/ZUXU3jRPDyvPA6A/4PXMJbGD9FK+bFzHbMl6OoenO8hCALTpv6ZkpKvMX3G/YjiwJBKT1im0JBeKburI5qjYykcqLciiAJqr1FbNDpx8Uj39nfJHWG9Fmdnz5DaJLi7OskpGnwj5Pf7mZw/tLByd3s7hZ9jfZo+PhnRA40RRRAE5s6dy6pVq/D7/ZgTuKh3WhpZMGc+eQYHvjYXvhYXrj1tNHtlxOARJ1cBVKOIaNUh2QwYss2Ycq1Y8h3YCh3o7aaEsv8AakQhz+NlZ1Mz08o+223s9V17EMrnJh1XVl7BgT27GD89vXyuyRMn8O6rr3DupZcP2uZqb6Zy2pi05ouFqNPjCtjp3LaV/JmzEo6dV25mypzUe22lgmTW4+32kFM1+OLr6Yp2o7bnFfS3ovB0d2FNM69HkFU6d3aQN3VgSKj4jp/T+pu7sS1dgiFOYULXASfvPrefxRfG9mbabUaOP24U4bnllKdgyMRCZ7GhyPE1WeISw4NxJG4XOCYNbro4HIrnFeP8uJ3qZ/Yx/rLD3gi5tRmpsJLRK9fR/O3zEPR6sm68h5bvXUQOoHQ0oi9NP5l0kkliV3MtC3MHh2pttglMmRxbntklyxQb07vwq3ojvmlzueTiSwe8bjBJhHqTpLMLLTgK4p8rO3atJ3/slLjbM8GBphBnlaevUnxg80ZmLR2s0Wxub+aB9z/i2sUL05ovEokQcXYzfn5mzwmfBppR8wVh/vz5fPjhh2zcuJFFixbFHRcIBigdUx43ibgPOSLj6ejB2+nG1+km2O3Ds78ZZXMdgcZ2zLKA/ojuzioKqqiCXkAwSIhGCdojzCuH1/fs/8wbNWJXNYaS5GGbgqJC9u9JTSztSJaccx5//f1vmbBtC2MmTR742akK+jRP2rEQJB0nnu1IyagJRyLoTMPLzzgaMctAsCN2uDHkj5bsGiwWIsGoKFtHXS1Fo9PrMSOMy6Ljuf2DjBpDZSUV//xHkgUK+BUYc0piPaBUPDPxjyEjRNI8rUp6VH83giV+grOgRlDFzKtljv/mVPb9Yg1yROlvQOp7ZzXWWVkIBjOljy5HJXrjpKJHadyNVFxB5N23Ek8cg5MrRvNczT4WTk19n9ZAiPpAmFn2NOUHjEZOOfNcxpcNNL5s2UZ8PSEUWcHjDGLNip+k+/pr67nith+nd1yg3R3k+qc+pizbzL1fnZFQDyrXHEZvSU90s7WhHld7K7NOGBzivOXHP+ZX/3wA9wnzsafhAers7ERQlc99OTdoRs0XBpvNRnl5OevXr2fhwoVxcxXC4fAgzZpYSDqJrOJcsooHn2hfuP/PlIwZx5zTz+p/TY0oRPwhgi4PoR4vQZeXsMfPV6tyuWnHPjIvW5VZsoUuQincMZmttpjNQZPuZ7OxaOEiVq18l9dffhlVVSnMz+eciy7BkMGEXUt+Di01/5+98w6Po7ze9j2zvan3ZhUXuXcbF9zoxdQACRBKIJRASCAF+KWREAL5ElIhhCTUACH0bgw2YIoL7r3bstX7anubme+PlWTL2jK7WgF2dF+XL9DuOzPvSrMzZ857zvNEF6XsIRgMojOnrvsJQJ9hwt8VuZukZ0lMFMXeAKerJUrLcAwK55XQdGhHUvPLrsqgKDN5SXqf24VWp4/p/aU12lCc4OtqwZiubrlIq7ES6tqPLkZQozXoCXW1QX5qtaU0WhHJqCXo8KPJCge5ssePYWy33INwpIPIMmcO7refxXTK15BciddjjRk2gZ279idUS3XX3nq+WZiFRWX3Uw8Gowmnt78YZGahBVlW6Gj00FbrpGhk5O+A+9AWsswSuePmJHRcgD8v38O2+i4+P9jBySNyuGhKdN21Dq8OxdeFYMpQvf83H/kzC75+VcT3Ms1mCsuG8dH+wyyuVv/AUNcU/i4ez/YIPQzV1JxAzJ07F6fT2asyHI2BGkEqsox4zD4ErYjOZsRanEPWmGEUnjSGslOnUjW8gi5Z4aOd6hVcv2jsW8K2Enpr/Jt8Tn4h7ji+Y9E46ZTTuO57d3DHz37BHT/7BU3NzWz9eDVZxQNTEj4avV5h254spEBsWflQKITWkpGy4wKYMi2EHJF9lbTdWhyhQABTt3fWsAlTEj6Gc0sryvDkgzGXO0QokoBfHBr37ebRm67myR9+B587evG73ppB1rnjaHjmfWRJXY2aKIMU50pssop4OwZH3FBj1dG+50gHltQVQJPf/0ZsO/MCnCtWgs6EIsU+vyIhiCLVGj+76veo3iakKJhjXK927l1FQ3N/RWabXovd1//hI788Da1eZMPSQ3Q2eSgemRFxv3XrPmL63CkJ17soisK725r45qxhzCjPYsm22IH78CIDSgLe9oqi4LV3MmFO9Gz8lOGVrI+hth+J3XX1YLEe1/YIPQwFNScQI0aMQK/X89prr7Fs2TKef/55Xn75ZZ555hn+9a9/8fDDD+P3+wdc3R4pqInFr8ZWcdOegZv/DRautS9Rp1OXE88pKMDnT8wQMRKCIJCfk8Wmz1dQOHzg9TQ9ZE+YSFVxCy0bNsQcp8ghRGNqVbZNWVZkd+R6kh4PHU9XF55u01pzEirf+lwzUpTASQ1anUgoyhxjsfrl57FmZeHqaGfrB+/FHJsxchzach31b71B/XvxW9f9oQ4MubHrueSghGgYHLO2zJNL6HqnBgAlGETyimgiCJvqxp5E1/pGfGs+CHtHJMEp2Rm8vjX2udlDSJZZ2+XmjJzo50nWy1dx6NNH+7z27NKlNC59k+kT+tcgafUaxswtYu/aZmxZRiom9l+GVxSFZa8sJasscbPXhi4fba4AM8qzmF6RyZY6e8zxghxAFtRnD7esXklaQeyl/JNGVOFqTKwJoL6pmbSc5A1Mv0oMBTUnEBqNhoULF9La2kptbS2hUIisrCxGjhzJnDlzOO+887jtttsGfBxZkhIKjBaMGoHfaObTXV/NbE1J7X8ImNStJWu02t7uiYFiMJhw+l2UT0xdy6ggiuSNHU7X/jgmsrIEutTYJPRgzUtH8Ua+2dlychA1GjqbGuhsrEcQRWw5iXfzmPJMyK4kCnGBoCeI0xNCSbCLXAoFObx1MxNPPYthEyZTs2ld3G1KzrwIYVU2ygexl3oVKQAIvcXT0cgelkXT1sSevtWSNzEHNOFfitTaitYSPcNU/vs76HrpvwhJBljpG1bwRrO6a4ekhG9Q42LU0zRbSig6uJRdOz7ofa3Tbmfy5ddSEWUpZfbFwzn9+rFc+MMpaI/RvwkEQzx07UWIIhSecrWqeR7N4fZwFrcix0J5toVmhx9flPZ3ALfHj8agPjuy+cP3GT9hHt4d7VHHWMxmhAR85wBc7W2UngD1NDAU1JxwzJgxA51Oh81m48orr2ThwoXMmDGD0aNHU1paim2AiqTQk6lJrBxrYaCLrzV+cT5IiVJ87d9UjzUbDdQeVGdCGIszLv4aIVsGecNSu46dXlpIV4uKmocUqz0bbCbEKPGGRqsjd1gF9bu2U79rO7llFaq1fo7GnG+GOBL/0RAEgaACr977eULbdTbUEwoGKBg+ksKqkbQcqom7jajRkntXNSGdM2aLvbdpJWZd/OAua8w4HI2DI2QpakQUSUGWZES9iBSInoU1nnkNzq1NZF57c8LHkfwedm/YTqbVQpM9/lKaQSOiFQX2x3AL7yqcjtXXgbjsF2z+Z9jc0azX4Y7huabRiIyYlo8tq38w8dDLL2HJCHDT46/EDTQj0eEOL3llWw3k2MKBn90TPQh3eMUEFp/A0dBA9kod7U/viBnYJILH40HwuBlZ9NVu5lDLUFBzgqHRaBgzZgy7du1CSjJFHI9El58AHl98BhophNMb/QL1ZdD46csAGDLVP6UMr6pi45pVAz52RnYO6ZZhKdcHqvlgJZnlsX3REg1nFEVBjlOnE6/4c8SM2exd8xl7Vn/KiBmzEpxBGI1FjybJTJnGGD5nA6HEtne0h9Wg0/MKSM/Lx+d0EPTFP48NGbkI49w0r/og6hhn43JsaUeWSTy12yPvKzOTgH/w9J7EbCNNqxtxv7MCXXb077ag1TFqyzaM8y5I+Bj733yUynFjWJCVxstbI3/OY5maZua5xug3b33OCHYvvI9MVz0T65fjaT/ImXt+ybimZQnPD6Br8zomjhIQkhDEA/CHwt8Rg1ZkR0PYZ2p3c3R/qcw0Hf2MsmIgByQMBTb0w9JwrY6uh5RINrLHHqFoKFMzxFeVadOmEQqFaGpKvLtEDbIsJ1WXIwsi/1mT2FNyNFJ1eZedzdTmLU5om+pJU2ioS9znJxJGo4mOFkdK9gXgt9tpbtYw4oJzYo5L5PenKAod/9lFwy9W4t4Y2wVbEYi6PDf5rMWUjZ9E2biJTDn7vARmcARBFJL+40s+CaMocOk9iSmu+rtVsY1WK2K3R5dbpXBg8QVn41ndQsAZOTPh7NqMNT9c9Gnf+iHmx2bTsXFpv3G+1ib0ptT4g0XCOiYb32eH6NpRhO0bsf82gja5ptk3X1xO5amX8o1J4/iTQ6Lgw02c9soSTn91KZe8+T63Lv2I33y6hqe37GBFXSNbulys6HRxU2n/TJYsy6x87hbGfvIzLOZ0cgPtfDLsPA7890YsoS5sPntSc1QEcUAq12L3tooC+WnhTFCWOXrNjE4X3zOtz/wkGVN1FqYx2QQOdkX9rmkAj8pC9f31jSiiptcc+XhnqKX7BKSwsBBBENi/fz/Fxal3XFVkCSEJf5Ffm0Ns6xh4kW0qsVVMpmvbawltU1xZhSdGejsRzGYL7S2d5Balpr3avmcPBSWalNgP9BCodeLd0oY2x0TXkoOYJ+aGg4sIKCYBZ1MnaUX9L5B6o4mL7ronZfNKlJA3RH6uEXN2Yvo8Und9gkaro+3wQSDcjp4RQdH1WLQGC9bTSmh4cSnl37q03/tufz2WokUAeLa9SwaQ9fql1G/7FrLPRdbin2ApKMfb0oIlY3AKhQGspTrsy13kXZqBaE29J1jQ76MyTyBr1DSygPNMAs8C7190FsFAgPrWVg62tnHY3kXtoXbW7tpNfSDEeVqBXEN/ocs9e1cze88zrB1+CePHnMrBZcMonHszAiD7vQhL/5jUPBWTmUAg+cyp1RC+pTp9QayG8DWyODPO+abyu/rKIw8R8NnRFVoQzTqUoIxk96ONsIymURQampsZXhQ7Ywuwr6EBfWbWgLtivyoMZWpOQLRaLWlpaf18tlKFIstoEtSNADhtzGgORGizTIZU3bKdn7+AUDI9sWOnMGCw2ax0tKWuVVeflobbGWfZUUmkiRR8uzoQLVoyLhyO7AgQbIxer6PPNtNW05zA3hNHEAWCSdTVSL5QXBXsSGi6MxNSKEhOWTkA6bnq66Dyxp+MpPHSsWl9v/cUZER9OIhQBA11w28AoHj/45TWv4Br3+cEHe3Ym9oQoxUspQCt1s7hzCb0KVaZ7qH+41corSzt/fnnM6ewbHi480in11NeXMzCSRO5esE8frL4bP566YX8ffHppO/ZGnF/Tns4U6qUzsRoMDPsB5sYPmI2VSNmYy2fjNW5F8f2Dwk078GxZy2KyiVeQ3o6nYHkM2IF6eEAo7HLR2OXD71WJCNGhq2/j3hfGg8fYv3HH7Fjwzr2b97A/MJvoEkzoOkWDZSiGHKK7a08849H2bE3TsMA0NbSQm5e6iw4vmyGMjUnKJmZmXR2xnf/TYZkamoAStKsrMlKTeYo5HNz6N+3orFkI9py0eSNwpCWhzEjD0NaDoJG3YXJ19mIceSChI6dyhqYtPQ0uuypW37KGDGchqZNsQcFPSgJZNqCDW70JTb0pTYQINjgQl8c+WneUpBBZ11qChijYtTgafWQXpZYS3jIF+o1M0wEQ3fmwudyIXdnbRK1dyi5+BzqH12Gq+0AeTMXYLTl4m/fjl4MF+43L32E4l0P037Z+zR17sXUtBLnmKspWfZtWAYh10x26S9hUsKzV8fe5evR6lJbOH40B1a+x8Tzr+z9Od1iJt0Su/suLz0dxRNZE0hyt7E9axL5w6YB9FkO11mz8FWcgfO9v6J47VQEwsFk04hvUXBF5AzOqm3bqK6oxJqWgVTnQZHlpAqFK3IsiALsbHSws9HB8FwrYpSsZiyCwQBv/ONvNO7eSW55BUGfj7TsPPJDeQhGTW92J1DnxDCs7/fA7XajDYaDnReefZYf/ehHbNmxk2mTJqI7pjhflmWCne1UTZqY8By/qgwFNScoNputtwAs1SiyjJjE8pMoCEy2N+HyeLCaB9ZO3KIrQTcqk6CzDVq2EazbjNfnQPA7EINuBMKBh0BYPdcfCGBIz0M2pIMpC40tl/zTv09h+wcooxKTQg+FgiTWsxCd9Iw0Duw9lJJ9QdgqId0Se2lM8tgRRfVffcnuQ1+RjqjXIFr1hOzRlxAzS3No2l2ret/JIFh1eFsSD2okv5TUDSYtO6zf0dXSRFdLM0arDV2CImUGaw5lN51P25pVNDz5AYohgFB0EFt6uJ1fWf8UnSEbWdXTCZU+jrfpABk6I45dz6IXAlgzJTrr06jfU0fxyOgKtcnicUiMPi0xPzO1KIpCR0s7WRMWJb6x0DewkGQZl8eOqNXjnvZtxpZHNoItvvovvf9f+9DXKW1bgrflEJ5fVyJd8Rq2ir6f9ZP7fsLaMRMwVo+nxTKcdaufZfrsbyY8XYtBy4SSDN7a0sjuZieLJ8TuKDrYFKB96ydkj+8rpvfcb39NZn4h3/nTI70Bm/+wg9a/bQ6bcgbD1zcpwnexJ0M/Yuw49m7fxu9+9zsA0swmxo7tq8fV0dGBIElUqFimOl4YCmpOUGRZTukyydEoipJUpgagUqPw4eYtLJ510sDmoDFQNONU9RvIMkFXO77OBvz2Jnwr/0H9ew9TJfqhIr6R5dEEfL6kljEikZ5hw+NJXHI+KrIMQuxK2qCnC51O/Vdf9oQQTeHxSlAm1BYjaLJoKKo3sWfVC+SMKicrK/XLGRqbAX9b4l10plwT/hjttdHILCpGo9PRtH8vTQf2kjusIuF9AGgtJgoWLYJF4GluoP29ZZj25RGa6iDTtwf9ve0IgoDOmoVueHdN0r0NOA5sZljJSOZ/vo+l/1jJt37fvzZnoGg0MsE43W3J4m3ch8VqTirzwTHbrN/+ATNevpgZwKqFv1e3i+wKaIPy77+M8/5xmJ5YQMO831N06rd6x/iy89Fs20jmlJMIVp2Odsu/IImgBuCa2eV8/7+b0GkELp9ZGnOsjMjH//gtF/71SFAjhUJ0NdZz9U9/1Wes0K2pIwckNOZwxsVY3b92bceOHRgMBi7/2sX8cvu23tdr2zs4VmK0/gSyR+hhqKbmBEVRlAErB0fdtywlHdSM0gp822ek3Rm9zXFQEEV0abnYhk0kZ+IZCHnV6Nt2UlN2VcJ6LQGvN2VFdelZaXj96mwX7C+/QuMvf4nkiL5cJQc8cYu4Q257vzR0LBRJQeg2O1R8IbybW6OODbj8iIiYXy+krX7gbe+RMOWa8DYlHgjq0w0EkygC1Wh1lI2byJZlSzi0eSMVkxILgiNhzi+i9JtX4fda8dy/CK+QFvUhJK1yIhq9iTFzx+Nz26jfk3hmz793L60PPUyorS3i+zq9hmXPpi5jeDQb//17yqpHJLexohA4SsFb8BzR6skpHqdqF8XfuB/l550IgkDa/21H+PE++PxfNL7x/44cJjefropqZEHA7wsQ0FlwOSP/ruJxweRiHr9mGi/fPJvhebF1wRafOZZMa9/v68ZPV5ATwehVYwk/WMiuIJIr0P1a+Hu8b98+3nzzTdasWcP27duprKxEEARuv/12br31VrRZOdS19P/e7q5rAJMJi8WS1Gf9KjIU1JygpFr75GjChcLJJfluOSOcXXlvz8DF6waEoKG06R0Ea+IFcr4UBjVp6RYCwfgdYb6dO2n8yU+w/+d5Wv4YvbND8nqIp4sY8HT1ejGpQiOgSEeyP4YRGVGHGjPN1KZ3YTd5KShMXJFVDRljs5FiFCtHQpZl9m45gM6SXDZi1sXfwNnWhjkjk/GLzkhqH8dSs+RzHJ1peBUnodN+o2qbqik69qyJX/x5NHIgwOFv30DbQw/R8OPI1rKTr78UjRDEOwhL1qs31DPiou8ntW3ayNF8eJTlh+jr4rNTHwJgeKX61vyjs0Raaxb5P/wAccOTuBvDKs3azGxM2Tk01dXi83jQ5I5k92F1WjqRWFSdz4SSjLjjKi69G7unbzC75cNlTD+jvySDaNUj6ERCbd5wtlQATZYRj8fDM888w/r161myZAkA48eHtY/S09PJyckhLTOT9o7+4o21TU3YThB7hB6GgpoTFJ/Pl9DTeCIkW1MDoNFo+akpxPstyaujxlJoVYvcXROTf+p1CW/rcjowJBIUxEBv0vUJGKLR9cabaHJzyL7xRhxvvY0SRQZd8rrRaGJnnuobWyjMVq8sLZq0KN3dRpp0fbhgOAq2wkxm3X0uyAM3To2GpdgC/sSCk7/e8h4vvfUpPuFgUscsHDGKG/7+FNf84W8YU9Dy7Gt1ol3hJ/OaavJ/vZucuZer2m741AqaD9oTOpb7008JNTWRfdONuFeuJFjf34dNYzQxYlSIVpWieGqp++BZsq2gT+/vsaSGMxcs5JMlbxII+ln9n1vwtx9A7jjAlvOeTm45qxuN3oiw6P9of/FOnl/2PnJnO6PnzMe7fhWIIhmV83DuSU7ALxF0lgwUIOQOZ19DoSDu9lZGjO9fuCuIAroSK/6DXfgPOtDmmRH1Gtav79tVl5WVxfDhfX2rMjPS8bmOZMftdjsPPPJ3nDUHKFYhTXA8MRTUnIDIskxjYyMFBYNzsoZrapI/dU4qLuQdYyb3vd1fZEwNkiwPuExXbNwCgDErcWnwxsOHychMja6M2sJV76ZNWGbMxDJnNrLTif9A5EyX5PXE7fDZe/Aww0eOUT1HTbqBUKcPJSQjOQJo0uPrpSgiWDIHbskRCVEU0ciKag+ug82H0Sp6BEWkRLEmHRSbrDZ0+tRoxbRtP4C9pIuCMSMT2m7YuGG47YnN37NuPdqiQrKvuSb8cxSz0+xhuThiqPcmw6GVSznzO3ckvf248nIyd2/hL//8EyftfobZW/5GxuFPmDDl/AHPLXfu5Rg6d1H72F8w79jIGTNnMuWK67jw9DOoGrOIwkPLWfPq/9HaMbhmvMWV5TR89ioAGz/+iJyK6Eaa5vG5+HZ14NnUgnl8Dl6vl+XLl1NaWsqPf/xjLr74Yr773e+i10d66DpyrTlcW4uvOVxPM6L4xCkShqFC4ROSTZs24ff7OemkgRXjRkNRlAEVIU8rLeYH23fwoDmf5a8u5YMLI6fzn9u2i6frWrEIYNOI2DQi6TotZq2GwADrhQ5kn8pu7VSS6Mdg3759zJ03f0DHT5RATQ3WeSdjqKrq/dk4sv8NUfJ6+pn0HY0sy3icdmwj56o+tq7QgmdjC4EGFyjhn+MhD/KVRYaoAoAAL7/zPrWHWvj+zVfw8j9XkXWallsuvpoVD75AQApg0A6ekJ0aXHubsVYlnvbX6rUoipCQqnfg4EEMw4ejychAm5dH4GDkbFVGcTb1uxILalbsacWgFTmpMjvi+/bOLjJGJqYDdSz+WYsIehysrbgAg6sRKUV/O0EUCWSMIDsjyEW/ex6TRuS8eUd1IZ37R2Y+czofoWHBhfem5JiRGDb7TPa8/yJlp1/Nlo+WseCyK6OOtcwoIHDYgRyUebt5Jbt/GzYJPvPMMzGbzb3LTsdi0utRgkc0bfY1hgOasrHjqY5wHTmeGcrUnGDIssz7779PUVERw4YNG5RjCKKIFBpYp8SPzjyNLdOq2JGRT8GHm7ht+af9xmzrdHB5UQ4PzhjPraMrWVxWyLjMNDJ1Ov6vamDma259AYGMyoS3UxQFu8PBiIlfnK6DIklInZ1ocnLQZGWBRoPUHvnmIwWCxFr1adi7hSKbQNzCm6MwjshEdgSwv3kA0ayNqlHTg9fhIc2ZmuW5aKRF6NTpcjpZs3UzLo+burdktJvz8Yf8iCaZ+SeF9UwCZomOlthWD18EoUYP2RMTP/8ATFaRpn3qsweh1lZ03d0t2rw8Qq2RC73TSwvo6lL/sPLhrhaufvxzvv6P1aw/1H85uWHFf7E7QxgHaKKrGM1Y164jpDMji7pErJLioh13ASOFw7S4+tdoGeVwEGBwpMYSJRp5k0+lpaGVUCiIp6OdqrGRAxMAQSuS9fVqNOcWsntvOKA5//zz4yrHl+XmgNeDz+cjFAqxdcsWckeM4luXXHxCFQnDUFBzQqEoCi+//DJer5dzzont/TMgBAFFSs4p+WjybDYaF0zkhkAHL4hWWo4pZBMEAYNGpDwzg2nFhZxeVc7Xx47i5qnjOXN4cm21PUTLNnU2ufnvfZ+z4rndEZcpnF1d6EQBTYIu5QNB7jYBFc3m8JwlCfurr0UcGwrJMeOVves/ZMTYSQkd31CZjr4inWCtE9uiMoQ4S4+yJOEyBuhqHRzxxx6kYN/A5vkX3mfdw+08dccavFY7zpxmGptbCThkygvC2i6GQhv7t6S2biQe7TtqqP1gAyH/UeqvAQVbUXIFmjllNg5urlE9XvZ4EC3dAoLbtmF/8aWI48S0fBRPF81r16ra79OraphUmsHwPCv/XtW/c+rAZ+8x7YyBF1VPnT4dn8mCqXM/QX1qb8A5MxaTZ3Sxbc+efu+VVc2i6ab16PxdtLcfTulxj0bQajEYdax+40VyK9V1ib3wwgtotVr+7//+j8mTI2v1HE1u93L5Aw88wK9//WsUl5OvnZpMnvqrz1BQcwLxzjvvsH37ds4444xB8Xzqwd9lx2RJjT+MIAj86oxFVLY38va2HX3eEwE5lY9lR6EocsTli5Wv7MfR5mPbx/XU7ex/Uz64awdZKaqn6Tuf6J+zN/Y6aogYcc0cpIAUM1NTX99I8bRzE5qbIArkXjeOgh9NwzY3/nllybRhnV3Enle2JHScRHCkG/Ae4yPm8wZQhHDXn82RS1pbIS889RGCKPQWLZdNHEX5RxacjtRZU8RClmW8T9fifreBXfe+zdZfvMrux5chCMlfesvGFNG4P4FlIkVRJ1ug1TPr65N47bE2gp3R2/YBZFnh84MdnDG2gFNH57P6QP9MTWtzG5WnXaF+nlE4c+pUfFl5aN12JK0ZjZw6uwidLQutBmoP9V+SEzRaCgqGo5vxLXatejplx4xE2ejRrHv1RWacGf9htK2tjcbGRk477bQotTP9ycvLQzAfCQi1trQTSpvmaIaCmhOE/fv3s3btWubMmcOsWbMG9ViCVoc5LTE113h8TRfks5b+mZrBC2qUfjeWoF/i8PZ2Zp5XQXqeif2b+l/YD+zdQ0lZWcx9u9c3Y3/rALLKDh1BFAkGome+BKMRBAHZ4w572IgiaedGvvhJIQWNNvINzNXRilkTRDRnqJpXnzloRbQJGEGaqgvQ7gFZpVNwwvMxaPB1HhHg27lvP9pteVz7xznc/LcFAMy4NRdNUxpS8Mg5VF4xgh2ltWxdmxq3+HhIgRCSEqLqnlMZ9+sLqbp1IZo0A7b5sUXZYlExeTiO1iCfv/m5qt+vYDIie8NaSKaJE0m/6KKoY7OnzuL0iy2s/MeSmPts6PLiDkhUF9oYXWijyeHD6TsSbHTuXovFYkSXFrnWJhH2vfYwVcMK2NaZTZZ9L/6RZ8Uc/8K6Wqb9+n3+vapG1f4VUyaBQzujvj981ALmrPsdzZ2NiUw7IYbNXYwUCFI5Jr72zmeffQbAuHHqdHoALBYLv/jxj7jnnnv46U9/yp23fTfpuX7VGQpqThA+/PBDbDYbp5xySsLbKpJM56t76fjvbmQVqqKyIqt+QlDL034Nb2X3DRY0goDKBpeEUZT+isvt9S5kSaGwKoPC4Rm01PQXuauvr2fslGlR9xuod9H54h5cn9bjeF+dmJmIBkmO/nsXNBo02dmEWlrDtTSyjDYncousFJKjZmpad6+i4At6OvN6/HRKCvUfD07niGIQ+fyTrUiSxK6aA3zw+0OkneXEYjQhiiK3/H0R08eN56RrSyib2jcAN1akE+hKjct6PKRgAJfZgc4ctlUw52Yw/GsnU3bqlKT3aTQb8Hm0rH3bxZrXV8cdr83K7hXdC7W1oc3ur0J7NBWnzcNhl2JmD5sd4SxZUbqJgjRjn9cA9i99hhEnxw4+1CAF/Kx95y10O1fT6LViu/BvzDj1e1HHewIhfvXmDhQFfv32TrpUKEjrMovIatgR9X2LKZyV3vjubxP/ACpJHzmD3InD43bm+f1+tmzZwqRJk5KuhdFqtYMm9/FVYCioOQFQFIWmpiaqq6uTUhF2r2/GvaYJz+YWXJ/GvwkpipJyDZJVF5wWnkvgKPVQBnP5qb/bdldr+EaXnmciI8+Eo73/jc8fCJBXHN17x7OhGU2aHuvcYjwbW1S1HcuKjDaO67m+fBj+ffvw7w+LhekrItcUhTWEImdq5JAff2iQosSj+NsP38be5qKzQKZrZcOgHKPD68CxSeb//fS/LH+gBoBRVeX9xs2ZPIUrL1zc5zVRo8FgVZ91Giip0FXqv8/w+bLhvfh2EfphwwgcOIjs8RBsbEQXJ9MIYDX5cTdHX+Jy+cOZRatRS6j7HN/XcsR8sv7AIUrmRc8IqUUJ+rFajWRl2hCdflo7Y59PK/e14/KHePiKKfhDMh/vjb2MZne0Utb1MdVx9Iv8/9fIsIaVCc9fNYJArk1He21sYcV169YhSRILFiwYvLkc5wwFNScAXq+XUChEeXl5cttvacMwMhPzxDy8W2JfBHpIta+USa+nqvEgIz4+4lUiDvryU9/P4HMF0epE9EYtJpsevzuEfFRQ4uqyxy0Q9h92YqjKwDgqE9kdJBQhMOo/FzlukGiePAXPmjW4PvwITUZG1KDm4Po67I2R60XSMzLxB1JXjxANxWWidncbYrYGQVZwNkR2Wh4ImgIPpWeH8OjCgmJFXw8xY5y6jjRPu5P0vBw2fPYZW372NoGjWl2jEdy8Fu8j3yO05ZOE5qk3mVCk1HsqTTkjh7NvHobBFL+2xjRxAoEDB3C88w7IMiYVnXs5JRbatm2L+n7P91IU6F12anaEAyxPw76wh5Vl4EvUWksawaDEyIWLCblkMrNiB2Rb67vItuiZWZFFcYaJbfWxa6cOHVjDR1XfZEtnbE0vg96Mz5K4+ngilFdWUrNpRcwxu3btIisri4yMjEGdy/HMUFBzAhAIhC/KySwJKYpC4LATQ2U6hsp0gs2euEtQQoocqo/loSmjkTUaalqPeK4MVl5BUZR+iqShoIRGH37t0NbwzcLvPhIE7N60kZwoyz69+2j1os03o8sLu5CH2tUYL8b36Uo//zykri46nnqK9PPPj6qmmlOaRsmEyJmkgLMTYwpuNGqoXevHYNJhm1lA3Zupt8Tw6n1orBru/dWN3PL3RVy44HTV2+qNBpp21ZD3pkx7jovPlrwbc7z/799B/vQfaKadh7TktwQ/fVn1sUStBmEQLrOzLpxNxcT+/kCRsC5YgGg20/jzX2AYORLDiPgdNjkjy2nbGz1ra+j2AvMHZQrSw1mv6eXhZa1//+g7jJ6XgNlsHDQagbJ5F3DOnXdQWnqsJWNfajs9DMsOdwmW55ip7Yztq2YwWNGm53DFY2/EnYcgiLgDiRupqiW3ahKtjbEd7tva2igqGpicxYnOUFBzAhAMhm+8yQQ1siuIEpDQ5ZrQ5ppAAalj8L64sZhcXc1V7mZ+uTG8vi0Kg7f8RISaGkEUULrrLjMLw0HJ0eq8e3ZuZ0R1dfRdhmQUXwiNTY9oDf8tZGf8LIAaDMOHU/ynP5J9443kfu+26OMsenyOyNmhUCgQd5krFehzwkuI5jQDJYvKCO3txFmfYgPTJj+5S5M7N8ZOn0baLoEtJQc5+TsXo9np42C35sex+N57GU3LRxhu+Sf66aegu/UFpFXPE1j6uPoDDuKKn0Yr4LbH/t1q0tIoevD3WBcupOj//VZVljV7wkS27YweAGdbwgJ4bS4/7a7w3zvLEj7nBVGk8uxvRd02UXLyMmnfvorqKfFbkO2eIFndc8sw62l3xf7+5RdWo+04QJrJGHffrsIp1OyOnUkZCO0NNWRnRe+s9Pl8eL1eKqJkaYcIMxTUnAAMJFMjd2ciRKseTfeNWHIN/hJFNH5w8kks0aVRsmw9f/GKdPhTExQcS6TuJ71RS9AXXnIypxkQtQI6w5EgoKm1jfHTZkTfZ3eGS9BrELr9lzwxHK0TJe3008m7/fuIZnPUMe21XWSWR06lh4JBtEkakarlsZ8tJdAWvqkUluUiakWsp5RR/9r+lB5HMyINrza5cyO7sICQQaFo4Wi0Oi3Fl0zA/2Tkom5l/2dwyZEARrSYMXzvOeSdH+N/6cG4x5ICQZTBSWwCYEnX07gvvjicbeFCSh9+CGOMoPxo9Glp+EIGoindlWaFszMH29wcbHNj1Ink2Qwgy2Sl69AYUlezlDdyPC0ql/38IQlD94PI21saWXMwtsdcRloeBp86H7r8iRfi2va6qrFq2fL5p7z5n8dQFIWW+oPkl0VX921qCqsAD6Zcx4nAUFBzAtCTqUmmol0JhlMTgk5ECYX/37cn9pdcGcRHz/z0dErrDxDqrjGZWTg469iK0l9m35phQFHA0+XH1enDmmHofar1e70oCpgT7TgYxBtaJJxdMhnDIqenQ6HQoAc1RpuWyvnhp169PnysYacPQ2r2EIjz1JwIBZMqcOTGdzePhKgVOenuC5k0NizfX1VZTWNm/3Pe+9R9mJofQzO8b6eSoNdh+O7jKK2H8T/5f+E2+2hIIAsDF6qMRlquhZaa1DtrA1SXNeLY31+UDsCs1zIy38rnBzv4/GAH44vTwwXqoojNrMPRUJOyeWSNmkFHnbr9aUSxtw6uJ/CKRSKmmMPLJmDs2Bf7750APp+PV95Zxvrdtezfu5uWNjt5I6N3xR0+fBhBEMjNPbFctVPNUFBzAjCQTE0vCtCdXejJ2HxZ3IeDJ5u307RwEvOHRe80GgiK3H/5KasoHLC01bloq3OReZTH0caVn8Zthxb04UBMCUi9ztvmCfEvQL6gJ2UdMkG/hC4zciD4RQQ1OqNI2cg8FG2AtKzw70/UiBgm5lLzyr6UHackqwyxM3UFuIqoEAr2zVAKh8N6IEIER3ZBI2K46U8ogp7A32/p46tzNKJWg6AM3mW2aEQOTQf6Sw+kZt9ZNK6Prr581rhCXt/cwPJdLZw17ogp4rBx4zi04pWUzcOancPhmmYkX38rg2OxGbQ4uguXR+XbWFQd/6EoqLfR5WiLO04QBOy54zl8YE38ScdBlmWe/edfAbDoRVYtexNfUMKUGd1csqamBpvNlvLO0xONoaDmBGAgQY3Qvbyi+KXetX996eC4K6snMcNMJSirFro7coT+x7BlG7FlGdnxaQMNe+0Ujzyyvr139y6q44hdCVoRwahFcgSQurMSoi3+38SgMyOn6OnPH9DgPnQAJdT3Bi0FAzTU1aHV9s/mPXbPEh7/1bvs2xa7SFEN7q4AuUWZ3PrQmWQXpPe+PuyMYZh3tCOHUvM5LQYLPmPqMiAhq0BT4zHLONlVBM9+Ieo2giBgvPoeKJtO8P65SM39xdlkRcbsGzxvnerZo+loHJwl2oIpY9i2I3r33vUnVzB3eA5njM3n8plHupLK5l3E4c3rUjYPQ9FoZp6+iPfviV+nU5BupMEergmst/soSI9fK6MIIqLK7HPa+Ato3fKqqrGx2L5lE7XtbubPncWYymJcHk9UKYYeWlpaKCiI3aU1xFBQc0Lg84W/xMksP2nSuutoHH6kLn+f174sJElCVPk0IrkCND24jsbfrCHYFP9JrgdF6d9xJAgCExaVcHBzG1qdSPVJRy4g7R0dVE+cFHe/ulwToRYPoeZw14U2R0UKXPWs49PqK2b9a5t562fP8u5PH2PjP5+j9tM17Hn1VdbUZBMK9Q0EWhs7kSVYcMk4PnltO//6+RK2rE4+oyIFZay2/jU/Oqsep0lL7Qep89DRSal7YjVkW2isDwc1iiTjf/oXEAoiZMe/iRjO/RYs+AmhZ26FY4JTb0cXijB4y7V6ox6NVqarNfW2D7//wM4DgegBmc2o4/FrpvO3K6ZiPMoZ3jxsIj6XM2XLNADpZaMwqCjmHZlv5VC7mzaXn/0tLkbmxbZzaelowORuxmqL3dXYw7iRc9A3bVY1NhafLn+HsmwTC089A5Mtg2aXQpo1+u86GAzicrmSlu34X2IoqDkB8Pl8CIKQVFpSNGoRbXqCTW6CTR7Qimgy4l88BhNZklR/FvfqRmRPCNGoxfGR+kyDIvcvFAaYeEopZ988nq/dOQ3TUVkWSZYxW+NnsPTD0vDtt+Pb04lo0aHNUvGkSOrEDLUGHQvuvJLF91/Doh9fSu7wAtq3bsPtEDG7y+AY35yPX9vMuJOLqRxdwrU/PZOzr5vKlk8P8Ojd7/DRm+t667XUYsrQ0HAwsnbKsJsn4lqVGql5RVGQAiF8odR06qUXZGNvChd1Bzd/huHAnzB2/AdNicrC2nnnI6ePJ/jhs31ed9W24rcmV/ujluKR6WxellqfreY2D+sO2xlvbUp8Y0EgNy+dlq2pE6uTpBC1AR2LfxG762x2VQ6yAne+tIWAJDNneOxg5cAnf4fZt6rODOs0Ip1pFbTFUCCOR0tLC83OEHNODYtCTpkTVoH3CdEfgFq6neVLS5O31/hfYSioOQHwer1JKQn3YKhIw7erA9+udgzDbL2dO18WsiQhqqz98O7uxDg6C/O0fHy7O1XXpkRz6RYEgYqJuWTkH8k2ODo70Kp05TZPzkN2BHB9Wo95Sl5E08wvCn2ajZKFi5h083VMve5rWKwmJp1zfe/7oZBE60EPMxYd0f4oGpbHlT88ncvvnE9Xs4/Hfvo+n7yzUfUxZVnG54m8HGLOM0O6gZ0//YzGz5O4WR6FIAgEshR8rtg6JGopKC4l0B7O9Cnv/YbAqU8jK4aotTKRMFxyB8rnT6AclQ1z17UjpA9uHdPEU8dRs6Ulpft8+cODnDUmH4Mo4w8lXrtUMn4a9WuWpmw+9WIBP5cuZKs/n4AnuphjaZaZs8YVsHxXCwtG5TIiP/aDSNDVSlGxeg8lAP2YxRzaqF6r6FhefO4ptIJC1Yhwp1NGRgY2i5mtjT48nsjnc11dOIt4oppQppKhoOYEwOPxDKgA1DKzkGCTB//+LiwzoxeqfVGozdQoskKw0Y2+xIa+1IbiDSHZ1T0VR6qpicb+HTvIVunMrS+2knXZKKzzSkg7bZiqbb6IFqnez3rUZ161dCv5IyxoImjX2DIsnH/9XK6551R2fNZA3b74renOLhfOZonqqdE/d8U3R2MLyXSsGXjGRqgws/mDzwa8H4DcwkL0DhElFESUutBOWoD4yxZEFdm5HsT0NOSsSQi/zib4+XsASP4ghqL0OFsOjPyKYvxeOaXmoR/ubuHiheXkGwK0tPd3q4/HgQ3rKJ4yN2XzcShmplqcXF3aygfL34k59o+XTeLJa6fzyBVT4+5X5+skLU3d0lMPE8afiu5wclmotrY2Wu0upk8a2+eaPXfefADsdnvE7Q4ePIjFYkm5596JyFBQcwLgdDoxGpNfMjJWZZB91Riyvj4K0/jYX/C9Wzbhaxk8t1oAWZYQVWRGZHcQQjLaLGPvMo/aoAa5v6JwNNpbmsjIim0CeDTmyXlknF2BqFe5pJSikotgQEooM7RzZQPzL5gUc4zRpGfeZaNY9mz8OoLX/vUJI2fkxxT4M2ebcFVlgAqjwXiMnDwBsTE1mkoagxa9pMP//O+Qhp2NaE0uEDF867f4xtyL3BD28JG8AbTmwb8Rpedq2b16V0r2FQxKuIMSRXlWCm06GhsT8+9SQiEcnV3kTzsjJfMBcAQVhqeJfP+KC3lta+wA26jTsGBUHiYV3z+9KNIZTCwYtOgMOE252NvVGdYezcr3XiPNILDo7Av7vF5XV4dOp4uaiWlqahpq5VbJUFBzAtDW1jZgLxDTmGzMk/JiZi/e/vcTvHHfTzn7+3cP6FjxkCUJjYrMk+wNp/lFsxbRGB4f6lRXY5FIpkYOhdAMoqutT06NN5LHEUCrVfeVrtnTgM4okpUb/+Y9esJwZJ2PXeuiF/l2dTjxdsApX4v/dGypSkew6gfcCWUwmAiSug6oYLoCu99BO/vC+IOjIOh0CNZ0EMPni+QLorUMfo1a9Unl7PwsNQKHb31yiEmF4fOiIMNCY2tiApJNq15NuRL4qLI8Wl0BMjPS0RvNNO/dkJL9iloDdhWt4v22qz6XfRsSW4Ly+Xxs2FNHeVFev6aO2tpaiouLI2aoZVnG4XAwbJjazO//NgkFNY888ggTJkwgLS2NtLQ0Zs2axZIlS/qMWbVqFYsWLcJisZCWlsa8efPwemOb+j388MOUl5djNBqZOXMmn3/+eZ/3fT4ft9xyC9nZ2VitVi6++GKamwdHcOp4Q5Ikurq6vhDp7F1vvcy48y5hzMxZg3ocWZIjLokcS48WjKAVezstfLvUqYNGUhSOhkan66dhkipkScakid2hoRavw4/WEOP3JoDUXR/x2RvbmXbGcNX7Pu3yKXz66q6oruM7N9SQX2FVKcGfS1qtk32vDUy3RgyCX5O6duaM0YVI5KAtHKC3jhSA7kyj4g+h/wKCmtEnj6OjMTUFyc+tPMS3zxkFQGF2Ok3tdtXbKpLEyv/+m4nnXJKSufRQVpBNZ/fHu+ikUVzx5Eak0MADWkXUIMqJ1wyNm3g2mgMfJbTNf578BwCzTrug7xwUBZfLRVaUbHB7ezuyLA8FNSpJKKgpKSnhgQceYP369axbt45FixZx/vnns317WKBp1apVnHnmmZx++ul8/vnnrF27lltvvTVmEet///tf7rjjDn7xi1+wYcMGJk6cyBlnnNFb7Q1w++238+abb/Liiy+yYsUKGhoauOiigdvanwi0tLSgKMqgBzUue3hd/Ywrrh7U4wAoshTXDRvoLWhWJLl3Kck4Ul3tS7ilW12mRqPVIafgAhoJUSMiK6mph/A4gn1sHY5FqxdxOjx43T6cbUHGTVdniAhQWl6EMTfEe8+v6w2MegiFQmxcUs+4OeWq9mXubnMPNg2syLe1vTmlAUPJyCpcoozDPcCiWykEYrf3l19Clxbd1iJV6PQ6NDqFjsb4rt2x2He4CwGoKA37PhXk5tNoV/93+vSvd1E6agQjzk7tdcJmNuDv9puYO20qgqBh+QcDL0QWZAmSaLKwmawEtCacDnXnSu2hQxxq6mBUZSmFxxhSejweQqEQlZWVEbftKRIuLPzy6x2PBxL6ay5evJizzz6bESNGMHLkSO677z6sViurV68GwsHHbbfdxl133cXYsWMZNWoUl156KQaDIeo+//CHP/Dtb3+ba6+9ljFjxvD3v/8ds9nM44+HW/e6urp47LHH+MMf/sCiRYuYOnUqTzzxBCtXruw97v8yjY3h+pbBFmWyZmQimszs3751UI8DPZma+EGNaAqPkT0hZF846NCqkEYHIEr3U8T5yHJCcuqJkmZNp3b/wLqBALyuQMygRmcUcXa6+fjNTZRPzExI4BDgwusX0NHs4LV/9fXhaW/pRKMTqBqtvt204JezEVo8AxId7GxtRZNC79WC/GJqyzpJeyi6v5cq5CCI3edvUEYfQ38klZSNzmTTAFu7f//CNr4198gDUl5hMc1O9QF95+EDTP7mj/q97rb7kVJUyKzVG3jpjnN4cd3AxCLX/fNiiuo+QZNEpgZAGnE6uzbG94IKBoM89sQTAFxwyeX93u8pDrbZIhel79mzB4PBgMmUOj+tE5mkr9SSJPH888/jdruZNWsWLS0trFmzhry8PGbPnk1+fj7z58/n008/jbqPQCDA+vXrOfXUIzb1oihy6qmnsmrVKgDWr19PMBjsM6a6upqysrLeMZHw+/04HI4+/040Hn30Ud544w10Ol3MwDFVjDtjMetfen7QjyNLIVWZGtGiA61AqMOH1F1Lo8lQ93sIez+pO/0lKTSo7taZmVk01A98OdXnDKI3Rf+96c1anHYPBzd1MG/xpIT3b7GaufS7C2g94CF0VLbG1eXFmpNY953WoEHJNdG4Mvmi8zFTp5BbY8bjjlOT1LYXHpoOL30L4tzAJE8HWxf8MOk5ASBogfBxlKCC4QvI1ABMPG0CtduTz9S0273U2D2cMe/IMocxs4iAyqXXmjcfoanVhS6j7wPW7jVNPHnXZ7z6+w0DzkjK3X+/9KxcckwC+3ZtS3pfOfZ95Plb0SdZlzV60nmw7/24455//GEAZk8dHzEw6TGqLCrqv+zZ2dnJzp07GTNmTFJz/F8k4aBm69atWK1WDAYDN910E6+++ipjxozhwIEDANxzzz18+9vf5t1332XKlCmccsop7N27N+K+2trakCSpX8V3fn5+7x+6qakJvV7frxD26DGRuP/++0lPT+/9dyKKFvVkaS6/vH/0Pxjkmqy0bh24mmY8ZFlGVBFECKKArsBCsM5JoM6FYNQkENTIqpefHA4H1rQ0VWOTwZZmpf5wfKflePg8QQwxghqjWceudbVYs3WYrck99Wm0GnIrzbzy9497X3M7fOhMiQd9xWdX0PFxfVLzAMhIy6KlwEmXwx574LJ7wN0G216GXW/HHGpWYPz8nyY9JwBFNCDI4QIQMSDQdWhwuwV7yCnJI+Ajat1TPP72yk4um17at4NOowMlciDia6tj+7O/BSDksvPJKy+x+OZb+oxRFIU1bxwgp9RK80EHh7YlH3RZjXqa6o78Lq88ZRrPvJd8S39z7nhqbJXkZZfFHxyBzLRcdEEvbn/sQuPG1k5GDivk9MUXR3y/p2g4ktDlxx+Hv2cnn3xyUnP8XyThoGbUqFFs2rSJNWvWcPPNN3P11VezY8eO3jTyjTfeyLXXXsvkyZP54x//yKhRo3qXkr5I7r77brq6unr/1dYO3Nfmq8akSZPQ6/VfSJEwQMDrQ5dCLYxoyLK67icI19B4d3bgXt+McUSm6pZmt92OP04Bew+NDY0MHz02/sAkmTKxHNfyl1h/+fdoWpF8V0fAE0Kjjf75DSYdjRsl5p43sM9yxuUzaNnr7bVc0Gg0ONsSL1LNqMpAE5TwdSVf4CqYdTi8MSwCQn7Y+z6cfAcUTIBdb8XeH0ofLZ9k0JSNRN7xHookoyk0EnCor0kJBSQ6GhLvxunBaIHW2sRrgqSQzCc17Vxx9oh+74kCBIP9sxlNny/h3Tc+4blvn8mTt3ydgvIKCmef12eMvdmDs93HSRdUkZFv5vB2dYX8kajMs/LSR5t6fx47YSqHnOByJK6jAyDIMtk3fYBel3yW2z9sDru2LYv+vt+PJwTV4yZGHdOToYn08L9v3z7Ky8ujFhEP0Z+Egxq9Xs/w4cOZOnUq999/PxMnTuTPf/5zbxHTsWmy0aNHc/hw5FbQnJwcNBpNv06m5ubm3hqRgoICAoFAP1Gio8dEwmAw9HZp9fw70cjJyUlYxn4gONracepFZCl17siRUCRZ1fITgHVWEYJeRHYGsC1IIBsnCIgqup8621oJhoIUDStXv+8EySorQi4uoux736bzxivYWT2a7b/5F76OxJZM7a1evM7o58PUhaOYfVUR5aMG1t1jTTNTMSWTd/4dFiAbO62KgC+5FL5uWBpt939Oy6bkinO1Zj2OWJmalp0g+aH0JCg7CRqiqyNLIX9K3NJ1k09GLJ+O/58/QpEURKM6OQBZVnj1wQ3851dr2Lw8uYcwa5aR5gPqM0P/XbKXPzy7hYvv/4g5w7LQ6/pn3PLN0NoUeT4LF43nzO/9BAFY8MM/9nu/rS68NJg/LI28Ybben5NhfKGN/+xw9nntwon5vPp2bDG+aGiDbszGgZn35o09G//e5VHf7+joAATyCkuijum5D/Zk3ntoa2vD6XQydWp8mYQhjjDg6kdZlvH7/ZSXl1NUVMTu3bv7vL9nz56orWh6vZ6pU6eyfPmRk0KWZZYvX86sWeG24alTp6LT6fqM2b17N4cPH+4d87+K0WgMe+AMcpDRg9PRhcUfZMczTw3qcRLJ1Ghsegp+OI3Cu2egL1bfGm2y2TBY4hdwblz5KRUVkbsSUoWo0aAAuTPHof3hfWQ/9l80Jj3bv3Ej6664g/oP1qu62Qa8IbJi/A5yCzOZPFudl1E8zrpyJk37XBzYEV4+SrTouIfKK0fjGpmJuza5m53WZsBrj7GtvVsgLbsKsiqh81C4oCoCh/YtwZejviMsFvqLf4AghihoXY/GoC6oOby9nZZDTgqr0ln/bk1S9ScZeRba69VlLj78rJZ/rqyh1enn1Op8fnbt5IjjCjPMNNbV9HtdCvjQ6PRkjTuZ6556F52lf4Dg6vCjM2owWnWk5ZhwqdSRikR7l4tvzejbAXTmaWfx7l5XcuaZivqHp2iUFI7C3LEn6vs9ciZmc/S6qlAohCRJ5OT0FT5dtWoVoihSXZ2a7+z/CgkFNXfffTcff/wxNTU1bN26lbvvvpuPPvqIK664AkEQ+NGPfsRf/vIXXnrpJfbt28fPfvYzdu3axXXXXde7j1NOOYWHHnqo9+c77riDf/7znzz11FPs3LmTm2++GbfbzbXXXgtAeno61113HXfccQcffvgh69ev59prr2XWrFmcdNJJKfo1HJ/0rMV+YUGN38+537uTpe+8wu5nnx604yiyuu6nHkSDFtGcmDieoqi7Eds7OsjJy0to3wNhxPUXkTdnAtW3X8XUpf9h2C1X0/L0f1h/+jfY/tsn8XVFX5robPSwf0NqPYCiIWpEzrlhKu8+sYmP396AlOQKkkYrkjO9AO/njTR+pk65tv7TIx14xnQzga4Yy4iedhBEMGWCJTectQlGXg5q3f0m1opTEpp/LPTXPYikvE5ambrzp3ZnB2k5RmZdWIXXGUwqq5FVmE5XS/zlq4/W1PPAe7t55o653H/TdG69ZGxU6Y2inCzqj8mm2/esY93SpZRMXRDzOH5PEGP3d1MKybg6k19qzE830XzM31pvMDCtUMeqlR8mvsMI3/+6+ufYsfNOgkF1gaFOZyBgLaSuObLwYU8Dx4E9O6Puo6eJJfMoK5a1a9eyfv16Kisr+wn1DRGbhIKalpYWrrrqKkaNGsUpp5zC2rVrWbp0KaeddhoA3//+97n77ru5/fbbmThxIsuXL+f999+nqurI08/+/ftpa2vr/fmyyy7j97//PT//+c+ZNGkSmzZt4t133+1TPPzHP/6Rc889l4svvph58+ZRUFDAK6+8MtDPftzTc7KHBklD5Vi8jU0Uzz2ZUVn5vPXGC8iDtPSlyPKAvKxUHUOl+J7X68ViSY04XjRkSYpqlZA7eyKTn/w9E1/+JxpRYvsl17Hh2jvp2Nx3/X3/xhYkSebiH08Z1LkeTfGwfC787kw2vd2M1pJ8rVXO+BxKb5iAfclB9jy1HSkg0fhJPcEoxpjKW/be/7dkpiM5Y9woQ37QGMI3sP0fhF9zRA6e5OZtlI9aHHOuvqCErLIQV9Bokc0Cepu6lu72ehe5ZTZyy2y9PydKXnkeLntsQcJP1zdw3+vbeeqWWRRkxi8Yrywt5kBL36XQ5nXvM+7keWRPXBhzW1lSELvrvGq2DkxDR6/X4/H3v9Zdfs6pPPdZ9GxJNLT+vktZDsdWdu/+GY2NL7Fv3/9TvR/NyNOp2xq5AL2nLKN+f3RX70Ag/PfqUROuqanh7bfD+7vkktSKGP4vkNCd47HHHos75q677uKuu+6K+n5NTU2/12699VZuvfXWqNsYjUYefvhhHn74YVXz/F/B0r184nK5YqY3U4EsSWgy0hF0Os5+6B/svvx8Oj77lJwFsS9qR6MoCnU7O0nPM5GWE/1iKssy2kF/OlFUOZsLgpCSOotYrPjnP8mJU/OlS7NR/aPr4EfX0fD+Gg5ddz21C88lc9ZUis+eg9vuJ6fYil5l/UaqKCzLQYuBqnEDM220ldoY8bOZ1PxyNTsf305GTRe7VzUw+vtTcDU4MeUa0FtMuBrCD0Tb//wWaASkoIxZifF3FLWgdGcyc7vT+IbIv2tRCqE3RP8cGw93cuW/1lCVZ+WFG2dhjFB/0o8Ezh1Xh5/csjS0eg2mNH1SWY2csnx87tgB5m/e2MmT359NQZ66YKuyoop/vdtXE8ze0kzxhJlxtxW1AlK3HUblpBzWNyZfBP3eljouP7n/Ukx+URmiqKHhwE6KKker2teuxgNM6OhblN/c/CYGfT6FRZdQW/sko0bdiyjGv0VWjTuD/c/fANzW7z2/349GUMgrid7MkZ4ePueefPJJxo0bx6FDh9Dr9dx8881fiFTHicbgPg4PMajk5YW9mjZs2MCZZ545qMdq272bdGs4YyFqNIwbPhpvlz2hfWxbUc/Hz+/BYNFyxS9PwmSNbPSX6PJTMigKqsyxDUYjbrcz/sCk56Gwp6aG63/5S9XbFJ02k8wpb7Jv/gLaOu20PPovAoZ07AWxswyDhcGs4+Tzond3qEVr0GI+fRi6JQdxldjQNbg58POVmIA2yYsnzwN+BTIFcmaORA6FcLfYCW2MsfxqsIVtC4JeMKYDApizIw7VKAqyKBItVHnwvT1kWw1sq+/ijU0NXDo9tTIRfm8Igzl83nsdAZoOxOjqioJOr4vZ0i3LChoRivPUZx9taWm4Q32/LEFXJ7rs4rjbGsw6fO5Q+MFAAWtm8jfp/Z0B5kyP3Ll3+dwxvLh8Jd9TGdSUZubRpsvk6CqWrq4NZGTOJCtrLjU1D+H27MNmjV/PkmHNgpAfOehD1PVVuG5ubkZSBKpGT4i6vclkYv78+axfv55t28K6O5dddlmf5agh1DMU1BzHmEwmRo8ezdq1a1m4cOGgRvWHNm3qIw5lMpnxOtV35yiKwqbltZSNzaJ+t53dq5uYdGpkfYgvIqgBdS7duXn5tDal3mdMliS6amtBrydd1KBJ8G9nyk5j/LYjT5rOmkbqfv1eqqepiqBPSpk1buH8EtqyjJSOy0YURXbc/zmmLj++NIGck0ciaEXyJo3oo2P0nc5vcNEmDadOihDU2boLS7vqwv+s+b2+TMfSE9REwhMIsepAO/csHsObmxtZvqs55UGNLCmImiPBw0Dan5VjFLM3bG+hpMBKhlWfVFG3QFjpW9SIrPvLbRitNrr2byF/4ryY29myjIT8Ej5XEEe7D1t2crYWn2/aRaFVGzW7Omn8eJ7+eLvq/Rn1ZvbkjO8T1Hi8h8jOXoDFHC6X8HpqVAU1AF1F06nZvQJMVeTk5vV22zq6woFpNLXgHhYuXMioUaP4xz/C/lBlZclp5wwxFNQc95x++uns2LGDjz/+uLe2KRZuSUIviOhU6rn0UHfoENPmze/92Wix4nOpz2C4Ov04Wr3MuXg4igJ1uztjBDUSWu3gLqMoiqLqPlxcXsGe3dGL/JLB73DwxH330WQyYXO5mFAc/4k3HrbyQlWChYOBOV2Pu8OPvmDglxNBEMidkNv785i7Z7D53fXUbnYw9qTIqqp3nXUvd779vchBTV73Nk1boGkr5EW/SQkCyFGE5vY0u5BkhUmlmRzu8PDudpW2FhodAXcXekv85TmNVuh1LtebtFRNyY2zRWS0ehlnm4O0oxzYL/r3WgAmmU1YVDq5H02RWaahsZ6SklJWfHaAwrQQ49IiZ7yOJqc0nBFqrnHQXONg2Nj420Ti/72xkZ9/bXrU9416LQFZ/TXNHfCiaI4EWIoiEQx2oDfkotNlIghaAoG2GHvoS2b1GRxc9QKfHAwHL+eeNp9pcxaydX1Y9d5ojB/MFRUVsWDBAg4dOtRbWjBE4gyeoc0QXwgZGRlMmDCBVatW4XLFLiys63JS9fFWzn73E05ZEv435+2P2d9hj3ucjq4uiqYd0UswWq14neqDmh5BsZxSKzkl1pgCY4qsDP7yEyBo4gcBpVXD6exyDsij6Fha9+/HKYqcnJVFpl7PzOO8GLCwKp2dnw2eaq4sKijG6JeqsqLhBJQgHm+E89+aC7mjYcPTcHAFVETPLPj1ZoKuyN1j9Z3hrpuyLDNlWWYa7D5VBcOSORdPrbqg2GjR4XWFi+9FUSAtOznVZ0u6luaDfbOLad1rrd8/ZxSP3Jp412hVtpF9+3bTuukjqgp1tLsELLnx9Y7Sc02k55lY+cp+HK1eho1LPKhpbGlnh0vPhDExXOX1FvwhBTmkrhPU47YT0h9ZgpOkbpsVjbm7ji5EQ8MLqudYUTimN6ABeOv9FQB0tLUwvDhLdXZswYIFXH314JsGn8gMBTUnAGeddRYAH37Yv63RHwr13pDzrGbyfW7eP3sey886meVnncxYvciczTUx9x90u0EQ+yyRmDOy8CSw/OS2+0EAa4YBW5YRtz260JmiyL2dAIOFIisIKopq9AYDpcVFPPnQnzmwcwdv/udZXnjsHwMKcvZ89hkzS0o55bbb+NZvfkNaSXRhrkTwBgceCMpeLzVXXMm+M84gWK/OwiA914RzAPoj8QgFpN4OmmiMyxzD8nWvRX5z9q1w4KOw5P+kK6Mfx5SJ214T8T27N4AoQJpJi0GnQZIVHD4V3X+2EvyNu+OPI7xU42jz4feG8LmDSS/VpGWbaas7snRV3+jEgULNA+ewYGoxGWmJ77eqJJ91Kz/h6ft/TygY5Op7f03V4hvjbicIAiedX4W9yU3xqAzKxiSujPvwS5/gEY0EArF/3za9wOrVH8cc04PH60A6qmC8N+g46pqk1aoX5nN1LzN9/bLLuPiiC4Fwp2+7R2bKLPXNFEMMnKGg5gTAZDIxfvx4Nm3ahMfTV4PjG+99StGKLayrb+LlHXvJFvoGEt+oil8XsOfDDynJ7SsMZc0vSCioCfhC6AwaRI2I1xlAlhQCvshPVYqCqs6kgaLWUuHS625gxIgRLH3rTXRaDQ2NTdTu25f0cQ/X1jG5+8KXSky6gbf22198Ce/mzchdDlr/9jdV2zjavDG72QZKKBhCq4t9Ppwx9jw+2B9Frn7ylXD1W3DDCrDlRx4DYMnF0xVZ/TwQktFpRARBYF1NOGBojdVK3o2YPYxgS2QNk2PJKbXRXOPoLRDOLU1O7TazMJ3OpiPfzV8+s5kbxw0scK6qqOKQW2RcuYFDbeDtVL80M3xqHt/6/cmc973Jqr9zPUhSiDV1LsYKLXHtK86fVsHlb3lobTmyNGhvbaCl7kC/Byi/xx4uIu9GFI2AgCS5URQZQdCQl3+O6nn2iOwVFBYyqno0oPDyS+FMT3llagQdh1DHUFBzgnDqqaeiKArvvvsuEK4ZeXT9FlaaMpjud3LuniZub/NRckwb6sLKYWgkiVAMAb+PP/2U8XPn9nnNWlyCN5478lHIktJrINkjKhYKRAlqVLZbDwQlbNOtaqwoipx81rnc/KM7OfOSr5OdmYmzKzm/meZt22hXZGyFhfEHfwk4P/wA65w5ZFx6Ka4PPlTVzu7s9JORP3iSAjqDnkCcrMjM6vkc9MewFqg4GbJie6SJ1jwCUTRstBqRkKygKArjSzIAyLRE7t47Gl3eCJTOyIHSsZRPyMHrCPDxf3aTlmMkszC532luWTbOdh+yLHP9bz/hvfYuzpo2sLqtgtLhuE15dHWL3wUjLfXFwGjRqTaQPZpX3l3FhCIbb99/LXpd7EzkGaeEawpP/+MK7v3TX3n7vaVMenAjMx7ayfZtfY14A94uhKOCGkEQ0etz8PtbCATaURQJg15dTZPb7ebZZ58N7zcQQK/XM6I4G483HPQOdtZ5iL4MBTUnCDabjTFjxrB9x0421Dfxwd4D/MIRXiJ57fQ5/L0wvH784Mz+rYW2gI9rP1wTdd9CZydFM2b0ec1UUEDQr37JQaMTCQXD86mYGM76GK3Ri4EHP1OjJHWRBUAIWzkkw7IXXuACFQXdXwaKouDbvgPT5EmYJk9C6uwk1Bi/VsbrCJBdNHiFjZWTKuloiG0KqRE1ZOoy2HdIfQfMsRiNWfh99ojvpZt0SLKCyx9CFMImj5nm+EGNqaQawalOKbmgMo3h0/JwdfqZffHwpK0n8srz8ThDbNndzrJOB6t/tJBJ1TnxN4yBqNWCIJBfPozzLphF0ewvRj7g6dWH+OHXY3dYHc1PJ/vpVKw81lTJLR+EWJhWz+X5h2lr6XseB3wOhGN8n8zmSlzuPbjde7p/VmcUHPZ3CtPThj1x5pGmiqGg5otlKKg5gaiurkYKBfn6pr3ctb+R10fk0zB/AhpR5ILq4Xw6YRi51v43n5tyLJSaIrcU123YQHYE41DRbKbRp15Iy2TVIQVlAr4QXmcQvUmLRvPlnX5hm4Tkjh8MhjCZEn+KXvqXv3A4EKDilNRJ8acS2eVCdjjQl5Wh7/ZrU1NXE/CGyMiLvvykKArezZuR4hSyRyOrKJugCh26uWUn887Gl5M6BkCofi1eZ13E94rSw3UodZ1e6ju95KcZ0agIis1Fo9D41CnpCoLAGdeP44Y/z6dqcvLWHOb0dKSgxP97ZTvT0iwUZKcmi2bTKZjTrQQN2Yja+AHdQPC43Uz60fPodToKc9TrtVx/2UVclFPHCF0bf5or8fid1zEhT0tIZ+Ptt16hpSGczZN8DrTHCC1mpE+ls3M1rW3L0emyMJvVeb71SF2MmjipV+W9sDi83Hf+4nMGXR19iL4MBTXHKbIss3fv3l7fEDjylPBMVT6vz5nEzJLCPhmP4dmRLw7XjhvFJ539O5ncra0seeEFZkUQ9nMerqFCRZtqDz01F10tXrpaPKTlJFcEmTqSz9QEQyFMCbRcypLEX++6i1UdHdx41VVfSL1QMkid4SU1TVYWmu5zKdQeXytFlhX0puhZt/a//52ay77OoSu/iZKkpYcggt8bW/5/8bTLWN0SPeMYD1NGOUJ6ZPPdEfk2BAG21nWxtb6L6gJ19S6iTo+ghFAS8GfTJNFyfTSCINAWMrHS6ebey6KLviVKZaaONTtqsWYNLOujhp/+8x2sWrjj3MRFHf/wwxt5/96rueDc8xA0GkRB4Pp3uvjjGif3P/sOKAqS34HO1FdZuqDgQiTJSV3dUxQWXqT6oUej0YA1DeGoRors7Gx++tOfMnlq9Db0IQaHr+bVdYi4rN+ylWeffZY//v1RfL7wMlCPFoISDFCUpl4xNN1sYr8pjee29/VP2f7uu4yurKQkghu6r9OOzqA+MMkutiKKAo377TTu7+r1t/myGFCmJhTCZFYf1Pzq3ntpNxq55557yBoTWWtloMghSY1AckyUbg8aQa+H7u6urjfeiLud1xm93kUJBGh/4knMs07Cv2sXrk8+SXhezg4HPrcebRxbgryMQnxKAK8v9lJVNIpHX4i/eUvE99JNOiaXZvDUqhpWH2hn3kj1GjKBitNpvnc89g2R/YEGg3pBy7WV+Yyu6t9t1BUMccGGvVy8cR8ulS3QANmCny5LMWULvpbKqfbD3tnJ9vYQn/zmMuZMGbhD9elnLOY/lxbz5k+vINeq4fHn/ws+J3pj36DGYqlkwvhHqaj4PpUVtyd0DIPFQntXXwXooQzNl8NQUHOc8snGjYhGE5Lfz5JPPgWOtCXajIkrC1+j8XNHS9+bQUdrK/kVkdeVbSWleLzqbx46g4bSsVl8/tZBOps8VE5KTlgsVYQVV5PbVpIkjCq9tnx2OwA///nPkzuYSoJONwNeuu/egRIKQXc2yTx1aqwtwptpRYK+yBkY7/btyA4HeXf8AF1JCe5VqxKe1uFthzBaAmhUiAtOyBjLsg2vJXwMAKMlH6M3ujXBdxeNYGejgzybkYunqu8mKvvm7/CNuRx/zdqk5pUMdbZ2Lj878vLJ32tb2ez0sM7h5l91rar3aamYQVN+/wecVPPhyq1MLU1PuqboWDKy85k1ZRImg5a7r7uc5fucyD4HhmMyNQA5OQuprPguGk1imeS09HQc9sRtLYZIPUNBzXGIx+Oh6/Ah5p48j+KRo9i6dWufLhVDEssbv543E4vf2+e1ToeDnKrI7YjetlYM+sSCp9kXDsds01N9UkFSIlypRhCTiwIkScIUR/a8B3drK1Wh0KAvOQWc3mjq/6rRdH8m2elEdocDVkP1qLjbFY5IZ0cU8T3/nr0gihhHjcQ4Zkz45wTxe/zkD1OXGTt7/IW8v29pwscAMGVVYfZHr/tZWJ3Hxz9eyLvfP5m0BI1DjTv+i5Q6/caY/OKZFTSJZkaURNaEWdLWxXl5mZyTm8E7repvxLe/38KmtuQK5BPhoz3NnDohtRYUPQh6MyMtbkq2vUVmrrqaGTXkZGbgT0BhfYjBYyioOQ7ZuH0HKDB9wjgWTpmE7OiisbERqXvdPpm0pyiKuA0mNjUeUSL1+P2kR/EgSa+qosau/ikPIKvIwuX3nMQp14xJ2VNYsgwkUxOux1EXEPldbqwqJNIHSsDhiavlEg9NVhaCTkewoZFgQ7hAWJcfQ9elm4w8M/aWyFm7UHMT2txcBL0eXVERoSaV9gJHEfAF0RrU/b6nVZ/MIW+M1u4YNDasJWiKXSdWkmnGlmBAE3TbMUvtZJ9yU1LzSpSntrl44Zb5Ed/zSDK73T5mpluYnm5hh9tLMIYysscXwOnxIUkyWmRqJSs+T/JO22rY2+5XtezUFghR403cyVyXX8QGbTUZCdQExqMoKwvF4+69Bg/x5TEU1ByHbNq3D0NuHjabjarKShSDkY83buoVgDKZkhNCOzXoxHW0aqfS3coZAY1OT47GgJxk4eeXj5J0pob40i29BDxudF/A2nrQ5UWnG1igKIgi+uHD8e3YgX/nTgS9Hr0KYz2DRUvAG/k8kBxONN3mfqH2dgI1NQnPq6WmA02cepoeRFGkQJvLtpoN8Qcfe5y3bkNGoL1tV8LbxsK1exUuQymGzP5dhKmmrb2TSrGL0oLIWZp6XwAFqDAbqDQZCCnQ4I9egP2jpz5kwW+WUNPcwXCbxI+Ka9m48tNBmj1s2lWDVSdg0McOHFsDQeZ/vovZq3fycUdiGZKNphF0Lv7rQKbZD6vBgKAohI7b6+GJw1BQcxzS0dpKXnebtUajoXxUNbu276CxtQ2F+I6w0RieZmV7bR1r/vlPnvrxj8nNib1EZLOl0biivzXDV52A30+zx4/Zor6YugdFlkmkIjfg8aDTJdf+2uxu5mtvfI0b3rsBXyi2JlDQ5UOrH7gehmXWLFwffYT99dcxT58eLhqOg6PNh7Mj8hOzIoWgO6hzfaxOwv5oZFnm8A4Ba7r6v9Wi8lN4a+OLiR0n5Gdi404K2/ZzeOMTiU4zJtaKiUjCF1M0unVXDZMKoj/UtAfDN91snZbs7kCxIxg9u5BrM9AZ0vLNRz/BG1JYNHcGO7ZuS2hOISnEyxEsXCJx33/eIn9sedxxT9e345NlRluN/PVwc9zxRzOrMov3dkX2+EqWXfVhLSK9iu/LEIPLUFBzHCJ5vWSlHQlcTpk2BTwulr67BH1ObtKZmnIB1m7YRFCr46K77uK8H/4w5vjCkdW07NsTc8xXkVAoiE1USMtUr3/Rg8fpQJNA8UrQ50MX56kzGv/Y8g8aXA183vQ5r+57NfZx3P6UBDWZl38Dxe/Hv3MXWd+6VtU2bYedZEUR3xP1+t6uqsxLL0VUWWDdgxQMIYhGCqrUF5afPfMS1rcmlqkRtQYOXvkCjaPOQJeWGi+uHnQZhWil5DqyEmVHTRPDi6Kf1/7upSajKNDoD2dlV3REtzt5coub359bwdemFHPIq2fY6HF0OqKPPxa7x8OKteuo+fuDBIOxW/LX79pJaaiFzfb4Tw0fdzpZmGXj8sJsVtvd+BIoWCoxGRAG2DZ/LBnm8DV3/351lhhDDB5DQc1xiBLwk3FUS3FpaSma9AzkYJB5M5LXRSjSavCWVjH32muwZcU3nssaVkFzzYGkj/dloTcYcAclOloSe8ID6GprRW9QXyAd8HrRJTC+B0VR+KD2Ay4eeTGzimax/PDy2Mfx+NAZB54N0JeUUPHG61S89irWOXNUbZOeZ44qvqfJyOjVv5HdbnTFicn1dzZ1IghOKiap98+xWcM3dZcnsW6UiqrTsdSuZcSUbyW0XVy+wPqxXY1dTBwe/Xes6Z6KpEBGt+1AlTl6zVeJ0U95YTaXzR2NiIxBp8Fo0NNUq8764S+/f4D1f74f+7ST+e977/HgZefyp6efjjh2w+bNTJ47G7c3tiWGoijscHmZaDMz0WYmqCjsT6C2xmbQ4ouRnUqG8SPCDuI94ntDfHkMBTXHGYqigCRhPMoHRRAEvnPVNzn3wguZM21a0vsekZdNllv9+rQ+J4euDnVqqV8ltFod2RYzsgpfo2Npb27GnEC2IejzJRQE9dDqbaXN28bkvMlMzpvMjvYdMX2YQt5ASoIaCAc2xlHxu556MFq0eByRn8J1xcVIHR1ILheB2lp0CTqSN+xpoHhk4hmocVnjWL4uvsbO0dgPfEBzegEG3SBYPnxBcc0hR4jJ1ZEFBAFs3W3xjqMKWoebo5+fFelarEYdxdk29t9/LhqNhuGVVaz+MHaQ3YMlv4icy6/ngrPOZd/St2grHEbnR+9GLKht3L6ZhbNnE6NuGQC3JOOUZEqMekqM4eWeel/sLNDRVKWb2F3bxYu7Ei9aj4TT6eRfTzwBJnOvuvAQXx5DQc1xhiAIoNPT4e7bgZCdnc20iRMH1Drs9nixJPBUaczIpM7eRuv69Ukf88tDIZk7TWtLMxkZGarHB/3+pDI1dd1y/WW2MsrSynAGnDiD0QPOoCeI1vTlrOebrLqoQY2xW2zQu2EDvi1bMI4endC+/R4f+iSCtfmjTmVVTWJCf/Wf/pa0GTcnfKyvEkFZwGyMfh4Udi+FNvgCvYFAoSF6dsEbUkjrzuT0dCyOnTSJ7Vs2R93maL57zbUc+ngZE0aNwNZcx5nXf4dQXlG/GhtHVxd+UUtJen/tmGPp6hYMzNBqSO8O0na71fvQjcy0cPHMMv6xukb1NrE4fPgwSBKXXHD+UKbmK8BQUHMcYsnNY/vuPaoclBOhtr0TawLCfekjRgLw9P/7BZ3bEyse/NJRknt4bmtvJy9PvS+P3+1O6kJn99sByDRmkmkIL6d0+aIvpwT9QXRfUlBTUp1F7c7Idgr6qip0w8po/NnPkbq6sC5alNC+g74QOkPiQc3s6kW8I6/C4VLnpu732ZE7DzF5zKUJHyseUsDPF3Gp3bXvMGKch5JcvZZMrYZtLi/bXV7y9dreZahI+EIK6cdkckpHVmNIS0dS0emjNxgIZebg83iY/pP7mT9uLHf89JdsX7YkXHTfzYdrPyd3bI8lQuzrWqj7uqcTBXqcTpa3q6/zAajINvf6eQ2UnhrGgpzBt48YIj5DQc1xyDnzT8bb1MDSJCTnY9HU1s6wNPWpd73Vyg/++xannXou7/zoewB8/Muf0nXg+CiWE5LwfmpqaWHk2PGqx3sOHkRwJi7KFZDCT9EGjYFdHeEW4+3t0R2oQ74QOkviGaFUUDY2G1lS8Hv610IIgkD+XXchu1xkXHYZpnFjE9p3e0MQSHz5Sa8zoAiwva5vRsHrceD19L8BNhz6GH/OCNYtuY3aXYktW8UjYG9C1iXeaZcof3ltDYuqYxdUC4LAnEwrb7V28U5rF3MzY3dKhmQw6vsHPbmZWWxZG9tna1ddHS8sW442LYPG1lbmTQh/b7KtFkyVI1l+VIZ3+7o1LOi2Y+lscLOlJfp3Rt/9vfXJSm+Ac2mUFvZoNDh8NNi98QeqoGcpbciN+6vBUFBzHDJ21CjGnzSb1R98wKoNietxROM5v8DMssQKOQEmfPsmAulpPHjZuazdsYmO3TsHNI9kTQ8TOkacp8HfPvE2tz34Qp/XZFkmEAhGdC2PhlBUjKVqeMLz03Rr6EiKRJE1vE5fYIl+3Ba7jn37viDJ2gik55qo2Ra5vsq2cCGj1q+j8Jf3JLxfn6sdS3ry50Nl3giCAR/ttftY98Tv2Tx3Ju/cdSWvfP9C3v3pNb3jLBnDqKhZjdC4mebPfpf08SIR6KhD0sdfVhkIh+ubeafNzNcWToo79tsluexx+zjo9XNdcfzsQiShzPFTJrPtqGvPn598gnt/eicAf/1/9/HoSy/x3CN/ZfvrL2BAwR7qe24W5OWz7O03kGQZKRTC29XFxOLweV5Vnc2vVkRXns7olgjoDIZ629FjLaFF4vqJJdQ0Jecafyxyd8ZpKKj5ajDkuHWcctEZp+FwOXn3jTexmExMSLBWIRKWoJ8RI5KTDj/nxz/lwKpP8dbWEUgiM3E0gbbEu5ISpaK8nCcf+RufBoqxY8MoSJi1AuOLbAzLNPHcLi9+WcMDTy7hrmvOAmDf9m1k2BJ74g6FgugtibUxA1i6i1WdASd6MbysVGyNHnCaRQ8HDvjYs7aZkdPjqwCnGllSMFlSX0+gN1mwZidnqTHKV8ieM04lp/t0tABd376QMf98lYAG9BJ8UHUvC67+CXn5E2m/6VMsNStwH0yt9lKwowHMiWUSEuWPL37CKRkSw4rit77PzLDyztSRiAJMtCV+bgJMmDGLD5cfKRZu37sLQRT497vvYjeYCW74HEQRc8UInAf2kp9zRZ/th48YweF3X+f+h/9K2bAKPGVVvcHTtdNKeXN3dB0Zk0YkR6elxuvvDWZKYtQRRaLIasRmSc1ybc/yk9frTVojbIjUMRTUHKcIgsDVF13Iw243L7/2OlVlZVgsyXdtBCWZ1YVlCEkWGudNnkre5Kls/Ntf2fHu24y69BtJz8VQkHi2KFHO+caVnAOs++Ob/OuyWVQW5dDY3M5nG3fzw486efisckw6ke+/tpe7urf578q9/LdtJFv/9T4lGUZ+cNGcPoXZrZ0O9jS002J30+rw0u70ssebzTRD4rpBBeZwVqbR3UiDuwGtoCXLGP3GqIQkTr+0hOX/2U12sYXsosFf7uih6UAXHQ1uLJmpX/6SJTlpnZ9z9NMwBWoJPfsnDv7mHs57eRUBr4cVYoDp37wdrahl313XsjHzMaZe8G2yc6rZ+8aNDFv4y5R+hpC9CcEyuF5n7zYIPHNVfPPRHianJRfM9KDV6dBptbQ3N5GdX4C5qBTtx0upaajl+395lN/95l4AykZVs2vnFsqy+567c8eOZfbfHmPp2rWs+2g537jkyPWiMstMpyt2i/Y4q4kNDg8GUcSsEakwJX7u+X2hbruUgbWmrd0RXh6W5S8vUzrEEYaWn45jRFHk2osvglCIj9euG9C+NAKc1KBOeyIWE2+6BbfPS81LL2A/mLiGTaqLn+MhyaDRhL8GhfnZfO3M2TzztQrOWTCNRXOmUGI8svRxsCPIg+cN59zJZby1vQ3XMW2kl/7pXZ79ZDfr9rfg9AYoyrTSJVnR2hIX+Su1laITdezu2M3ujt1UZFT0LklF/BxBheyydE75ZjWv/WFjVNuCwWDj+4cpqc4clEBKCknoEnwK7+FkcQSa089k/NQzOO/lsDu43mTmtNt/T0ZOMdasfObe9w9an3qCZY9/h9b6tdgcTRSWR/ZNSpaQoxnRqr64PFGCIYl8jY+p4xJf5oxFSJLxhKJ/HysrKlj7SVglevbceQgoOEaMw3aUUvdlZ53NnX99NGLgIIoiZ82cyc/u/D+mVVb0vj4tP522rthBzWk5aXzS6eSJ+jYWZdnQJlEfl27W8Z/dA2/r3rJ2DVXjJ1CQwLL0EIPHUFBznGO1WhEtFjpcA1sfdjnd2Bj4k4Yoisy4+DJefvFpHrvrNtyNDQltL0vSF2p2KSsKumPWwudOG9Pn555Aq8svMWNsOadNHYVZr2FvfVvvGLfXh8lo4G83ncl9Vy3iBxfN4erTppAt+TFZE8/U6DQ6puRP4e0Db7OibgUzC2bGHB8KKehsZion5zH25CJe/O26L+zJ8cDGVkZMG5ybthyS0B7TEq8oCrW7Ouhqja7S6+/sxPvb32GujC3al5lbwvx/v8PUra/ieOZCFFtBysXyFHcb2vTBWxJ89u3PmJmf+qT7bY8tZ3Jh9A6h6XPnsW9fuPaly+tF0mg57ZzFABhz8xGbGxBFEbMxsfNfrxHj1rx9vTCLMRYTflnmhxXJBRPXz6/ikU8HJh7q8/kQJInqo4KyIb5chpafTgAUSY75FB+Ldo+Hg3YnmS4XWZrUxLgjL76UcySJj196lv/+4Ba+9Vxsif+jCQYDCELkeSiKwtnvrACNFotGwKbRkKbTkqPXYtHrsej1TM+0UmqzkmU2qSrckxXQxvjcGhRCsoJOI+CXIK1bDv07C4dzzRPrWPmTbGwWE9f/bSkFtv4ZBZ8EJmtyqf6rxlzFLctvwaAxcNmoy2KOlWTQ2cJzO+n8KlpqnCz953bOulF9p1ay5JWncWBzG6NOKkz5vhVFRjzm2WvnZ418+MwuDGYtl99zEua0/r/3nb/4GabvfodRN98a9xgmawZy1lgscg3irO/Fn9Se9yBvLGSoWCbtOAiednSZgyPKtuLNb/P3DbN54cZzU7rf2x9bRl2Hm9fvPD/qmPzSMnz+ALIkcWDPbsZ9905OHz8OgKu+eQ1bDhxM+vgGnYYml58Ca+RlJYtGw9JpI5EUksrSANh9QWr32ZOeI8DL770PQG4SlitDDA5DQc1xjsvlQvG4KM1NTiPhxV0H+GOzg2wRPAkskwSkAK/te43xOeMZnd2/SLn60m9QMmsOj/7wOwnNRwqFotb11La2EdTqeGXeFNpcHlo9Hto8Ppq9XnZ5vOyxu/msoZkOWcF7jCypDoUMUSBHpyHHoCffaKDQYqJLUGIGNTpBxusPYvf7kWSld6lq8Ulj2FLbye9e+YxzplayzwFLbj+53/YyQtI1IfNK5vHs2c9i1VspTy+POVZGg/YoJ+tzvzuBZ362mg3vHWLK6dEVZlPBnIurWPH84HiAafUiPk/fpYhNyw5TOiaLxn12dq5sYOqZ5f22C27bzoQ//ln1cQzfeADxH5eR6Y6zhLZnKTzXrWWTPQKueQtsUTIF/1wE9RsQzNPQZ6e+Tqz+wFr8ci15GTJlKgqEE2Fbo4s3f3R23KxpdmYGOzasI9jVSWbOkTmUZGdRkp18cXRJjplP6jq5pDp6FkYQBLQDSKr95eXoEglqOVxfjzW/gGHDBvc7NoR6hoKa4xCXy0V7ezvDhg3jsw0bQRCYPHZM/A0j0BEIcGdhOmeUFvLgPx9HPmuOKlXiv278K09ufxKrzsrbF70dsYjVWloGwMpf/pzZv/iVqvmEgtGDmsWrt2HR6UgzmUgzmahEffGlKxCk3uGk1uGiweWmyevnQEsH+8cUIcQQHwtJChN+tQwAM31veD+6YCZz732LwswWvjY+h5yM1NeUTMidoGqcQt/WW1EUueTuaTz7i9XklFopGz14haqvPrgRMcmn5XgoitBHT8jd5aezycOMxZVoNAL1uzv7BTW+jnYwGhATaLHVDp+GcsXfkZ+9Gr/0KIaTFvcdsHcZ/OfrYM0FUQvjLoYt/4W/TIKfRKjLePJcaNsHVYsQD9VhzClL4FOrY9v6+9CVXcGB9caUFLwejSiA0RC/lmnM+AlsXb8ejU6Hz6/efykeYwvSWB0nqEkFtrzkC6ZlWcbX1sq0hQu/0CXzIWIzVFNznCFJEg899TRPPPEEr7yzhDVr15JXNSIhP6KjafMHyTMZKc7OIs3non3HjrjbBOUgL+95ma+N/Bp+yc+Sg0uijr3yhz9nzbb1qguAZSlyUNPlD5CvFVl51lxV+zkWq17HqJwsTq0s46oJo/nxzEn8bt4M0hUNlhiZlKo0uCLPzvUjwWzt212m12lZXJ3Gk2vqSTN99eTRTVY9i787kaX/3I6zQ72MfDJkFQ+CXxIQCoDBfCTo7GgM24PklFjJLrHS0eDut03zhx+gHZ540axu4mlIM39AaN0b4HeDvQ7steE3N/4bRA04GuDn7XDRP+CeLsgZCW/c1ndHT5wT/q+tAKnqFIpCu9GaU6tT01SzCVHvZt60yymxtbFsw39Tun+1t+iJJ82msaUFiy2N1q7EDERjsbAsi5eXHeDzxtTt81iKK9N56/qTkt7e6XQiSBLDElAYH2LwGQpqjjM2bduOr7WFwooKtny+Btnp4IKFyXdrbPH4mVYUfhqam5VFy/74hXN7O/fiDDo5v+p8JuZOZF1T9M6r/OkzyNPo2ff6K6rmE4qy/PTC3oMUm1Ija340CuHCxGj88c6rue+OK/jpt86J+P7/XbaAjqCO/IzBuakPlPzydGZfVMVLv11HKDQ4hcNavYizfXCCpqBfwZZ9JAPm7gxnA6xZBmxZRtyOAPIxS41da9Zgm56cW71h3tfR1L4P9xfBn8bCI7PgwIdgPwRz74Cp1/Td4LplsG8ZrHoYFAWeOBsEMbwsJYfwp1VRZ1Lfaq2WLWvvZdTYH6DVaLjzrIms2BNd12UwcYUk7CEZ0WRC8vQPMJNlflkWgl5kQu7gSRPIMmgGkGFxdutxpaUNrrDiEIkxFNQcZ3y8YSOGvHxuvPpqZixcxIxFp1AcxRlWloPs3nMPu3b/DFnubzjYZO9CKwgU2MI3ZKMtjdbDh+LO4UBXOPAZkTmCkZkjOdgVuyDwrJ/dy8ZPn2D/lnfpaqvv4/nSb86SFLFQ+NPmdmYVfvWeiDQakU33nMkFswYufjhYjJ1bTMWEHF793XrkQQhsLvzBlIjFuqkgFJBJyz5S6xXwhdBoRbQ6DT53EBTwufraMwR27iJ/0SlJHU+TW4w84ZsAKAYblM+Fpy+Aho3gd8DiY+p0tHq4YQV8/CD8aVx4aeqaN8Pv6UxoX/gGyP3tIwZCS+12BL2dsuFnAnDSyBnsbE28wy4VuN0u7Bot9Qf2Y0kyWxwJQRDIyDFj1A6eSq/HH6LElvyDkqu743Qg+mBDpJ6hmprjCK/Xi/1wDfNPOx2As+fPizm+ofFF6ur+DQiYzZWUlV7b5/3d7R2UHaUB4nV0sb6piQVx5tHqacWqs2LRWcgz59Hijf2UmDF6DNmn7aah4XkO1vyRUKj7qV7WodfmYzKXoDNJZGbMxe/XIeqC/WoETIrCqC/J2wggEIream5JUkfli2TBFdU8+4tVPPr9Fdz80MKU7fdv3/kARYbsktRf2D1ODz5PVp8Wa1lS6Il5e5aiAr5Qn6BK8XiwFZckfVzzFffi/9G/0BZPRbP4L1A3C9xt4WxNJKy5cP37sPZfcOb9vS8Hxl6Gvvln5N/yWtJzicTm1b9ixMQjXVomvZYRuUYefvd5bjnz6yk5xrGLxaF2L5I7iKGsb1YiIz0DSW+AXVuYe8Px43AelGS0GnVZGlmWcblcmEymPua0TW1hSYdkl/6HGByGgprjCJfLhaAoVBWraw9tbn6TnOxFCKKe5uY3+wU177U5yD/KM+Wkr3+dzx55hP0rVlA1P/qSljvo7pXxP9h1EGfAGbNQURRF0MnY9jZz8o1Le1/3eTtpb9qGvXUXHa4leA478fvbyRnn4J0l5yL0XloVBO00MnTfVfW5B4O6Ti9m/VfT20VtvdIVv5zFMz9bxeYPapm4qHTAx330to8wWvTklloRtalP+iqKgsnW0adwXasTkUIKiqJQNiabPWuasWYcCXb9TY3ICTjNR6PLPRVbxTcwWfPgR/th5cOQESNQyq7qE9AA7GxuxUkao6VgAiXtsWmr34Oib2bYiL6FzPdddiXn/fFJbjpN7u3QSxZFUZCOOqdCdh/Nf96IEpDIumI05vFHOi2Dsowtv5Af33E7JhWFxYkgdM9lMIpwtaIQzwy8l/+8+RZ7N4Z9rvKGlXPd5d9Ap9PxUbdNxJDn01eLoaDmOKLHDVarjf9nUxQJh2MzVZU/QBD17N37a2Q5gCgeufA85wry7+ojF2pbfj4z0tLZ8vEnMYMaBQWx+3G50d2oau4njXmL1fTV0jCaMimuOJniipOBb8f4LArNn17JxILULz9JKq+Xe5qcZCfoFfNFqSMrgYBqe4vTrx/HWw9tYuKiUlprnbQecjJmbnIaKooC1zwwGzFF+kbH4mh1otP3/R0arXoUWcHvCeF1BtDqRDS6I8eXRRFt08DqSxRZpv2D/WTccNTvZfYtCe/n58GPOFCRwZzXbufv1/5nQHPqYeOqexg+9pZ+N3qNKFCUJtHqbKMgY2Dfk8+27mdY5pHlLPfnTSAK6Iel4fqkrk9Q4wsEQKtNeUADYDFrOWD3UJWZ+iyg2kBJlmX2bNncWzjdcqiG+++/n6uuugoUhUsuuSTlcxtiYAzV1BxHJGJx7/c3I8t+zOZKLOZKFCWEz9dX3bc84GVucd+WyVNvvIGOOAV/Ro0RX/cS0vyS+Zi0prgXCUWE9EPJtbUKgpBqkdde/CpT0LuaHRRnJla3IPkDfdqRB4uQ042g8nPkDbMhSwoP3/QBO1eGRewe//GnhAJSwscVRWFQu6oUWeonL5CWE66BsLd46Gr1kpbb99w7+O+n0Xm9AzpuT4Ao2tIHtJ/fn/QLAIJiatyg6w58hKJtpKL6axHfN+pE3L7oKstq2LSvnmaHF5QjtVf+fXaMozKxTM0nUOtE9h85V9o9PvS6+J1/ra3v8fEn09i//0HVcynKNLGuyZHYB0iA9noXn9V1xhzz+foNCJLEDTfcwM9//nMqJ00G4Omnn0YxGBmdAiPhIVLLUFBzHJFIUBMItAOg1+eg14dFsQLB9j5jIv3x9RYLzYLAPffcQ926yF1NmcZM7H47QTlIu689ptFiD40bniQnO3W1HF80B1rdVOYk9sToc3swfAHfsKDLgy4BFbKrH5jN6NmFbP2wDgCvI4AkJVZAHArJaLTCoAZtWr0W+ZhsV1aRBY1WpGl/F437u8gt6+uK7N2+ndyH/zrgY1uqbGgrxg1oHyMqT6VcAptGXTGq1+PB44rscN9Wv5dtm+9i2qx/RXyA2NNwkG0NPgozk7djCEkyN//7c/70/h483dZhiqIQbPagL7KgK7KAAqGWI4HT7paWuGq6iiKxe88vEQQNNYf+hsejTmm4IsvC9tbUBISRGDUmh0Nd0QNgl8vFkuXL0WZmUVRUhCiKXHneYkpGVQMwfvJkVZpeQ3yxJPQXeeSRR5gwYQJpaWmkpaUxa9Ysliw5olGyYMGC7qfqI/9uuummmPs8dnzPv9/97ne9Y8rLy/u9/8ADDyT4UY9/EglqJNnXPdaMJIUzL50dq3rfb3W5j6pZ6cuV54el0Ve/9VbE98tsZSgo1DpqqemqocQWvyizo3MlhTOviTsuOoNz8zTHMOw7mkMdHsYUJfbk7nF6MQzS0szRBBweNDr1vx+dXsuiq0YzfmEJi75Zjc6owZCgzs7qV/bhc4cQVWaIksGWnYbb3nepVavTUDY2i3VLamivc1E5qa+SrnzoMHmzk9MyOhr3fiehml0D3o9RY0VRAuzetIFP33qNNx97lGd/ey//uOt2HrrtBv5y87UcPnCAhpqD/O3ma3jhwf7XtSVPP8665Q9TVHw+WfmRvaw+23uQa2dlYE7CEb6HPU12RmYIFJpkRmWHl5OUgITil9BkGNB01y5JjiMiewc2bSQQJRDrwencjt/fxJgxDyKKRtraPlA1nzE5Vva3p65N/Fhy0wz4Qv0zlH6/n507d/L73/8eweflpisu731PFEW+vvhc5p9xJheeduqgzW2I5EmopqakpIQHHniAESNGoCgKTz31FOeffz4bN25k7NixAHz729/mV786oh4brzK8sbFvTcaSJUu47rrruPjii/u8/qtf/Ypvf/tI3YXN1vcJ7UQjFAqh0Wj6PJWFQuHHJzVBjdAbBCgIQvjPrNUduSmvbm5jvCHyn79s5kx+Pm0a//rJTyK+Pzp7NBpBw5qmNWxs2cjXRkZOh/fO2+9ACQYw5A9EVfWLde8+lka7j1mViZV7+twejAPRcVdJwOlFp0s8eJp32UjkkMyqV/cnvG3NtnYqJuYMWis3gMlqQlH6F/3OurCKJY9uY9jYbComHKnvsO/YjmKzojEMrFBY8YYF34IHtqOtHDugff3AbmV7bYA1tW+QlpNLRl4+FeMnkl9aRmZuHvs3reftR/+CIEsMn7OA1kNHdKJCwSDPPvArWndupXh6PbNGPhn1OPUdHcypSt6WAOBwq4Nci45f33JEk0n2hW/6glGLaAxfLwJ1Lkxjw7/3q84/jz/9+1lq2zsojWKL4HBuQxA0ZGZMx2Ybg9Opzp5gSkEa97y+DS4cyKeKTjCkYDH0D+b/8sRTuJvCS/WT580nJ6evBY3VamXhrORF+4YYXBIKahYvPqbi/r77eOSRR1i9enVvUGM2mxOyYD927Ouvv87ChQuprKzs87rNZvufsXb3+Xw88Kc/MXvuyVhNJrpcLs44eS52ZzgVq1Oxhq3RhJdKQiEXohi+yKelHZHcF6QQQozgSNRosGg0tB88SHZFXwdam97G7KLZ/G7t7wjKQU4vPz3mXJo2PEe6Tp3c/1cRbyBESFYSVg32uL0YBqEr6FiCLh/aJDuzFAFkWcHrDGCKYMgZDUGAmedVDmr63et0ozf2rxHJLLBw+S/6u5YffvEF0k87bcDHDawLd7XITvuA93VS5+dM+PlBzGmRb/ijps1k++qV+P1+Fl9/E3/7fjiz3dXexrP3/oyK6Sdxxd0/581X5pOWHr1+o8PtIj8z+QDstn8tQxA1FFr1GI9W2JbCDxOCIIS9EwD/gSMqv0VZmcyYv4DnPl3FnedHFqj0eeswGAoRRQMmUxle72FVc6rOsiAMotG83RNgWFr/pUFXcyNFJaVcdcXlmExfjv7PEMmT9BVJkiSef/553G43s2bN6n392WefJScnh3HjxnH33Xfj8agvXGtububtt9/muuuu6/feAw88QHZ2NpMnT+Z3v/tdb9YiGn6/H4fD0eff8cJ7n60En4+Vy97nvTffYM2HH7B//34+XLcOY36hKl0EgyGclvcHmvH7w940Bv2RVL1GlglGccPuoXrkSF79+99Z9cgjeDv7FtTdPeNupuZP5Y6pd1CdVR1zPy2H3qZw/OUxx3yV+feqdrJkeAAAtMJJREFUQ4wtSlw11OfxYdQNfrtnwO1Hm2TxjkYjMuWMMl76f+tRZHXZsE9f2ou92Yslc3B1g7paneiN6guYfVu2UHDqwIMa/azFZC0aQdeLA+9YcmOKGtD0cNGtt/ONH9zVGyDW7NjGUz/7MbMuuZyzrria1tZarFnFUd3rAUblW3h701Ye/O9zSc3zjX1+Vh929lPGFrozgEpIRukWbrQe48Zenp2JxxO9NiUY7ESvC/8OtNp0Av42VXPqCoQGRSyyB6c3SFla36DF7/cjKAozp08fCmiOUxJu6d66dSuzZs3C5/NhtVp59dVXGTMmbKZ4+eWXM2zYMIqKitiyZQt33nknu3fv5pVX1EnkP/XUU9hsNi666KI+r992221MmTKFrKwsVq5cyd13301jYyN/+MMfou7r/vvv55e//GWiH+9Lx+VysX7VSrILi2hva2PmnDmsWfERazduxNNQz3kXXRx/J4BOl41Wm47LtQeNqEejMWMwHMl06RWF/S4PkiRFXc6aevXVVNvtbH7jDZ5+4AFmz5rN+AvC9TalaaX88/R/xp2Hoij4Q42kj12gat5fRV7eUM/dZ8cO3CLh9fi/kKAm6PGji5BGV8uUM8pp2NvFO49u5Zyb42fU6veEA1yjeXD9rpr2N/V2O6lBsNtJGzlqwMcVtDrSLrwC19JXB7Qfb3stFrzh3neV7Xv+9lbe+NufuejHP6OkPJwhPVjzHpkZsW0fvnnyWYy5ZwUAl860U1qeoXqerXYXleYABzx6xlX2be8XTeFbhOwOIrvDysiipe/f/YNtO5kwInKtD9AtJREOgOvqnlI9r2yTHq1eQ7PLT7419QG0PyBRcMw5fLCmBoCiwv+NVYETkYSDmlGjRrFp0ya6urp46aWXuPrqq1mxYgVjxozhhhtu6B03fvx4CgsLOeWUU9i/fz9VVdFP+h4ef/xxrrjiCozGvheyO+64o/f/J0yYgF6v58Ybb+T+++/HEGX9/O677+6zncPhoLR04IJjg83KjZtAUbj+m1diMoXbVdetX8+eHTuwFhYzaZy6FLMgCGRkTKe9/SNE0UB6+tQ+T3pzqsr5RU0LLR4vhbbo/iqWjAxmX3UV0zwenrn3XizpaVQuVN/F1LnnA0xy4XHrYmt3B2h2+pg/Mjf+4GPweP2YvgDBvqDHj26Ahppn3zyeZ3+xmnVLaph2VnnMsUazjvmXjxzQ8dTQ2dRJWo467x9fexsYDCk7zxSfCyFK0W2L08d9b+9kRkUWV8wcFnUfoebdOMUMbAnMafrXr2by/EXYjvIT6uxcw4zp34+5ndlo5cBvzuK+h+7juTdMfO+GkzEa1Z0Tr63ayanV2Xzn7OlkWPt+ZkEroknXE2r3ockMZ2M0x2Tomg8f4taFJ0fdvyBoUJRwZj0r62Q6Oj5RNS+ASSNz+Kiug8uqC+MPToJjl08/WL8BMS2d3NzEv+9DfDVIOGet1+sZPnw4U6dO5f7772fixIn8+c9/jjh25szwuve+ffvi7veTTz5h9+7dXH/99XHHzpw5k1AoRE13VB0Jg8HQ26XV8+94YMfBg5hy8zGbzb0X6MsuvIDyCRO55aorE6phKC66DIdjE3b7GoqKLuvznlGvx46ANYZD9dHozWYuueMO3nv33X5LUbFo2v4f8soWxx/4FeWhD/cxf2RuUjdLny/Qtz5hkAh6Q+hMAyvYFTUil9w9jc3La9mztinm2FBAwpigEGEyHN7ezPDp6oKnpg+WoxuZwkAr6EfQRH7m+83bO3ljcwM/eXUbOxtjLGunlyLpE7vuzFt8QZ+AJkwDOTnxM2iiKHLmKDMbWzvZvr1V9TE/3NXE+TNG9AtoetAV2/Af6iJQ40AwaNBm9x0nKgrmGCrOWq2NYCjcIWU0FmOzqa/9STNqsftjlxokS6TF1tbGRsqHDz9uH8KGSIFOjSzL+P3+iO9t2rQJgMLC+FH2Y489xtSpU5k4cWLcsZs2bUIURfJOMMt3h8NBZ00NE6r7ptBHVVZyzUUXJrzGm5OziLFj/sCY0b8jL/fMfu/nI2NLoFPElpvL7FmzWfbII6q3cXi2kjfz+K2nWbGnlctnJNe15fUFMEXpMEslQV9wwEENgNGi52t3TmXFc3tw2aOL6oUCMgbL4H4uRZYJ+rWUVqvzcKpZ8jZpkyen7Pj6KQvx7+//MOYLSizZ1sQPTx9FtkXPG5sbImwdxtFyGGf+jAHNo62tFq3WpvomW1RYQbnZTmenOgFCWZZpcUmMLY9+jTaNySZQ48C1sgHTmOw+2kSt/iCtwdhBh8FYgN/fEF6K9jVgMKjPutj0GjoHKaiBsDZPDy6XC8XpYEJF+aAdb4jBJ6Er0913381ZZ51FWVkZTqeT5557jo8++oilS5eyf/9+nnvuOc4++2yys7PZsmULt99+O/PmzWPChCNPGdXV1dx///1ceOGRPj2Hw8GLL77Igw/2V5tctWoVa9asYeHChdhsNlatWsXtt9/OlVdeSWYc0afjjZUbN4EAi07q39mRLAUF56dsXwATLjifdWtW01lTQ2Z5ecyx3vZDiLIBrUndEsIXjRobgzaXnxkVybXKNrW7+H1HBt9Mamv1hPwhdCky+0zPNVNQmc6Sv2/lkrsi13GEQjIG8+AGNbIik8gzl16BzOGxMzX1rnp+9tnPmJAzge9N+V7MQCF4cDu6/P4PTTsbHfhDMiePyGFbfRcbD0fPWmqCHqQYjvRqOHjwPdLTp6kebzQXkWE+hMMVUDV+3Z46SjNiZxPNk3Lxbmsj1O4l7dS+Ab4cClFgil33ZLWMRJI8eDwHcbp2UFSo3log06RjQ60dBhYbRiQvw8hnDXbse7fgcjk5uHULABVlA5GeGOLLJqFMTUtLC1dddRWjRo3ilFNOYe3atSxdupTTTjsNvV7PsmXLOP3006muruYHP/gBF198MW+++WaffezevZuurq4+rz3//PMoisI3vvGNfsc0GAw8//zzzJ8/n7Fjx3Lfffdx++23849//COJj/vVpqG9A216Rr+aosHA4/ejSTLFOnfhQj5+Ln6XRePaJ8nOGLgQ2mB5KMkKMTX9XP4gOo2YdCp61szBl1CXZZnG+iDpJQPTKDmaigk5tNQ4ef/xyHoiiqygHeQCaI1GC6gPCASfD11GRswxD657kK2tW3ls22Osa46slt2D1FSHNkJdRU23GFxVrpWqXCs1bdG7O43FYxDdzfEnH4P2jpUMK4stmXA0Ia+TRrcFpfvKfsW9H/D6kj1Rx7+5bj+njSuOuU9BK5JzzVgKfjCt39KTLxhEo40dFKWnT0UU9ezd92sCgTYyM2er+zDATdOGsXmPum6pRLGadDS3drLx44/Yu2E9oWCQkVOnkZ4+MHuMIb5cEnrceuyxx6K+V1payooVK+LuI9IN6oYbbuhTZHw0U6ZMYfXq1eoneRyj1WhQBvhkp5b9HXZykhSGG37qqXz0wQcEPR50MdrL29s+ZOwpAw8+ZY4WE0wdsqLE3O/hdg82Y/IZianzpzD7jceT3j4ecjDIv25eyqSRFnInVsbfQCXj5hczek4hT931GbtWN1J9TAuv2+5nxXO7uPAHU1N2zGMJhST8HvUyDILXhzZGUOOX/KyoXcF3J3+X53c/z9KapUwviN5RJLtdCKb+53a7K4BFr8Fi0JKXZqDdHXnpHSDg9SBoB5ZBk6Q68vMnqR7vbNtFmiGPNfs7GLWtmc/cXir3tHH+Wf2zWLsPNbHyoJ0fXpC8kFwgFEKIo5qt1VopLr6C2tonsNnGk5mp/nj5FgOiVqTLHyR9AB1+kdBrRXZsXY+i1/P9m29GEIShgOYEYMi44iuEKIpfXFBjd1CUZBGrKIoMLylly+uvRx0jBX2E8GAuHHjxpkr5lISRZCVmpsYTkNAO0NvIQogu58BMBqMh6nRUZNrJG5/6dLlGKzJyZgGbl9X2e2/RdSNp2NsVYavU4epwAOpqKaRgAN3hWrQZ0W9Iezv3EpADTCuYxtT8qWxvi61q69+3F8PI/pk2b0DCpA8HumsOdBCUFLxRzEBdO95DKFeflTgWh6MRUbQk1Bzg9O7glq9NJ89m4D/L97PQZmaP3Usw0Pd3KUky335yFRdNKiI9SoGwGkKSpCqTOWL43Uye9G+mTP53TL2dSFjNukExSbEZddTuq8ecmU9mZiYZGRlDBcInAENBzVcIURTCmhZfAIecbkrMyS9zTb3gfHZs2xb1/db1L2DTJa7tEgllkCwSlNgxDcWZJtz+xN2rj2Z4roXHH3tnQPuIhbUkG3/L4KTnZ15QSUeTm+cf+5Df/vpZHnn8RZZ++ilvfvwBQdFPMBQclOMCeOprsaqsmQt2dWH0+NCYoxuOHnaEVWzL08opTyun1tU/WDuawKFD6Cf2XzoN3/PC52NPFi/afVA4vBLb+LPif4Ao7D+wlDRbYtmwkGInr7Sck8bk8WxjJ2eOKSDfomfjhr52NDsPN1OeoeOWxQOr3yvLSMOnwhVdEDRkZc1Gq03c3sZk1DLhF++xz57ah4O/nFrNmJIsxEE8j4f44hkKar5CiAk+wQyEWq+PcltirtNHk15Sgi8ksfW115EC/YsSmw+8RsHoyyJsmThxEioD2K8Sc7/5tsiGd2pZ/uYnLGsKkTaIVt0+uwdzXsag7Fun05C5MED7WgVrXSHy59ls+uwgwZBEV1Edn2/fQteBRl656Wk+f/A1nIcHVj9yNK8+2oboDNK+Ob75oTEnF29JEe7m6K3onf5O9KIeq95KtimbLn8XkhzjbyspCIb+y08mvRanL5z1GFVgw6AVowosGjxN2EqSty5oa/2MklJ1pomdNeuQZRmUcCZ1WLf43oXnjGBCURr17X0Dgr2NnZRkDLx2z2IwoEgDC/zj8frl0ykfkUm9K/pSXzIYtBoCXhdmy1ezkWGI5Bj8ftMhVCMIg1cUeyyN/hBVGQPT7skwGnh500Ze3rSR7119NZlHeUR55MNkjUv+KfVopDjBR7LIcVI1oigOyEfziY/28KtzxzPr1NS3bnTuqaP24x201HuZNXNgpovRWLNlM+3v6wjNaED7eVhpdtap1cybOp1X3lnG1q37MXc1ElB0IMss++37hCQBs1Fm0U8WY8rNSOq4oUAIm7adkyo/wftBPUxcFH8jvx9fSzPWgsjtwn7Jj1EbvomvbgzX6Nn9drJNkU1KBYMO2eNApG8RbZ7NgD8k0+UJ0uTwkWuLXDPja68lqEtTrSQciUDwMCXF8TufgkEXGw5cxmj7X0AARVIoKbSx5rZ56PVamrt8TB7Vt+jZ7QtiTpHcgE4U6fQHyDQMjnZRpkmHyaiFQViaFzXaLyw7PsQXw1Cm5iuExWhE8fu/kMCmVfr/7J13eBzlubfvme1Fu6veXWS5914wxtiY3nsLISQkpBcOIU4lOYdAGglJCAkHQu+EYqrBFNvg3nuTJav3tr3MzPfHSLJlbZV2jTnf3tflEM288867u7M7zzzl9yiUZQ4tKe6aX/+an951FwCrtt7St737yAb0Qk7Smh0qijykm0MkVA9QjHkF8EXImYiHVBg0AGv+thpvu5OxM7IwZqVGWHLzuoMA3HrtZZz301Gc/7NyFs1Uk2vPWjAT51YdFa1epi8uZM5dV3LFQzdz9cM34sg1sf6v7w/6vHVrPmVcaQ3FV30ToSu+5ocEg2SOnxBxt4jY970qsqgGml4T+SYsGvQoroF5Q6Ny1af6Q81ODje5+v4+mbbtbyGVDj4B1+1uRsAcsYXJiXg7q7E4J9LVuhUQUGQ1zyW/SA31hARwuvt7U9/dWU2ONTlVlhprBg3t8QtyDoZso45DXfFp7yRCwOvGYEh9tWmaU0faqDmNGF1UiBAMDCh5TwUhwKIf+pOV3mLhF7/4BVlZ9YS8qmpow86nySseKPZ3Ij6fD6fTGdc5ZGLUXg8SWZZjzlpgN/JpRWpyVgaLr7mNNo+RuT++iml3XJiy8yiyguGsDuzWDMqHDWdU6fGE5GxHJpd+bzpNDdmI5uM/I4IgMO/Hl3Owycar33wm8XMqCh+91sG4ay/HVDyOYirxN1XEPE7OsCJGKS0268y4Q25kRabAUoBW0GLVRQ47CEYDsnvg9Tkm34rNqOXd3Y1sPNrG7BHh835CRz7BPmXwn83RyvexWGfENdbVeBSTtoyQ1I2seOGkaqT9zS4WLuifTN7oCnHLOUkSK9RpCQTj08UZLMVWA/c+u5OdLclrTLxt524kTzezp0Y2htN88UgbNacRvcrLDQ0NMUYOjX9s3YU/qc4gdbJN/1KTDjs82yiY8+WIo10uF3//+9/5y1/+Qk1N9IRN6BViS75RE4wjV2d+WTbv7I78eTxR18pV24+w35X8p8hIVLy5idKi1FdphAIyZ54xLeL+sSNH0DbmXdyO/jcajU7LWWfq8QQSD28IgkCevRPbyDIErZ7q8T+k64nY8oWKRoMSJrerlzxzHrIi0+JpocnTRI45J2qli2jQhzVqtBqRq2eW8u/PKglKCpdPD6/xou06RlZ59CaU0Whp/pTi4vh6rLXWf4QtayKd0kZybMsGeEh1ooBW23+bUQOf7o3TCxYDi1ZLqy+1Rs2tM4ehCKBNYt7h9r2H0FrsTJ2cmvBtms+HtFFzGpGRkYFiMHKgti6l53mzqYN/zhh6N+NeZFlNnPRO8bPpsQUIgojOHLlyZevWrQQCARwOB2vWrIk5vxJnl2OX6yDr1p3Nnj3fV0NWMQjJcswvwLAsM20R1FmrvH5+eqiWLd1ufnywduC6U5IJBDVHXExaGrmRYrKQgwrmWK05rHWYMwaO0VsN6DRDz4EouWo5Bnc1shS9QkXR6wi5Inv+RtnVhrqHOg5xqONQ39+REI1GFI877L67zhvLXeeN5fGvzKYkc2AysaulBllvQxhC+DUkyTQ1xv5uAPhD9WQPO5OQtoPhs26NOf7jA81YTEZ2Hou/P1Q0ivPzOFyf2gex8TlWRo1JnsCkx+Oh5tBucnLzkzZnmtODtFFzGiEIApacXKpO+IE4dPQoFceOJfU8sigOOZ/mRBRFxu+fxLxxK3CObMKeEd2tfeTIEcrLy5kxYwaVlZVIMaonpDjDT0cqfkdIctHU/BatrbGrZgKyQiwZGq1GVPVswvBWcycGUeT+MSVs7nZTn+Kn1V662/wULEpen6NIyEEwG6MbNQEpgN44sIpu5MVz8SkG5CFWxohaA92582l46RfRx5nMeJubI+4vySghz5zHW0ffYnPjZmYVRE/AFYxGZI8r7D6TXsO3zy7njPKcsPvbt/wHZWTkrtWxcDqbUeT1WK3x6g8J2IrHcdY5O9FGEcPs5StPbGZbU4gr5/XXkNq67Vmqqzf22+b1drFu/R+i5vlNGTGc+tqBRv3pzHsfqkKxV1207HNeSZpkkzZqTjNKCgvoalZLY9va2njuqad46skn1XLNJCEpoI8jATFeVE+NiKVoIpMtv2XEorsjjlUUhaamJoqKiigqKiIUCtHe3h59/hjKvwCS5KG9/TNGjvwuFssYWlo/iLnukKIgxpjX5Q9i1IX/mmx3ephuM7OkJ1F3x0kie0KK9HVEkUF5AbrffZea73wH/9HKuMYrEliN0W+SISmILkzps0anJccWoP6DTQmtUfL58Af7X5sZF/wEoW5b9AMNelyNkb0FgiBw/djreadS1Qy6pCx653jRFNlTEwvlyIfYZ141qGMBKirex2K5hqlTb07oOFGM7zu9eIQJh04i3wZOp/pbU1u7nc7OX3L4yI10dqphKa+3k/r6rXi9/0RRInvKphbm4+7qYmNlcsJZqUJRFN5+dyXNzS00trZjsOeSG6YVRpovNmmj5jRj2qhR4HbR3NzMJ1u2AiDIMk1NydMAUQBNkiqTABRFQui5lPLmXocxszTiWJ/P1xd66m1IGisxWokjp8blOoiihHDYZ+Kwz8TpjCwM2EtIVmJ+ATrcQWzG8Amox7wBys0G8vRaLBqRSm9/T41XSf7XS9UiSdxYCjY3U//ju3F99DENP/95nOdS0GujJ5MHlRAGU3i9o5GzS6n49GjEY5s3H+Cft7/Lyjufwlmtelnc1VUY9f3Vb23DJ6N1VdP41gPIgQi5S6JEqDt6Eultk27jtwt/y5PnP0m+JXrYQTCZkb2Ji70psozO04y9dPDJp80tn1FaGkcZe99JE5t/47Fu/nbDNDZu+m/WrL0WgB07vo/Xq4bk9u9/FoCPPr6OAwf/AYAcRdNHEAQuPW8ZK7fGMDw/Z1Z99AmbN67nH/94iK62FizWtD7N/0XSRs1pxujyUSg6HR+s38iRqmNYCtTy046O5JZMJlMOXA0fxTefz+cDwGQy9TXubG2NXl0kx5FT4/XW9Mw7HJN5OF5vbHd4MA6jpt0dwGEOb9S0BkLk6LVqcqteS9tJUvSFOon9u2NX7sRDqKWF/ePG8/C3PkEziB44zg8+QAEKfvlLvNu2Eayvj+u4WNdJQA6GDT8BlF88k6ONJjoOhc8RW/Gvg0gaA11d8Om9rwBgGz2WkyNWok6P7pIH8FVupvHxbwyYp+Htv1DuX4PVEz0XTSNquGTUJYzPjt1oVDSZUeJQyj2ZzsMb8NtGxh4YhWCwktJEysEFJWp4yC8rbN5aR2unk6X3vMy4TIH5E0YgCjqMxlreeecC9IYizlr0LHr9HXi9arhbEPycufCf+H0L+GDVNUhS5LYVRkVBSlEOWbLYtH1X3//3uzopLSr4HFeTJlWkjZrTDJ1Ox4IzF3F4+1a8DXVMGqvGvT3+/mqarb7w8X5vKMgPN/wz5nmSadQoSihuHZne/JkT9TcOHz4c9RiZ2EZTMNiBKOrRaq3odJlIkgtZjp7jEpIVNDHmber2URomGRTAJ8uYejxeld4A/6jpn9Nx3ZljWP742ohzH1pwBvW/iJ4r0kvDPfeARkOpfJT5t8YWZBuw1l27ME4YT8YyVaHWu2tXjCPiQ/XUhH/i1VtNLLu5jPd+r+Yv7Hv2Yw69rL4f/g4nEhqu+cYwrvjrtXSGerR2BAEhTKJT5swLGf7tZ5Gb9uGu2Ny3vW3rOxRu/hW+Dh16f/KkEMRBemq6tr2Gdlx0OYNoOJ1tiKIeUUygckwQIBQ5PH1eWQ7t3X5W762mNNPIaz++jM7OWry+Q/h8JSw66xnOXfYCGRm5ZFjz8frU76PBUEMo5ObCC59GUUJs3PhAxHNIsoygS27DyWQT8LqZOf9MckpUo3PZWWd8zitKkwrSRs1pyLKFZzBq+gwKxo7jjJmqVoVBe/xHLiRLnP3ifC754F7eqN6KJ6TevF+q3MCcZ2ew6uBDEY2eVKDm+8R3KfUaMycmB0+YEN1VryjErGaSZT+iqKq79iYJB4LRc3XiCT81dPmYUBRe3E6gv+e/5KQw1RkXLsSJls8+2z3g2O4PP0QJBnG+tzLGCkB2u/Fs3sLY7dvQm7TobYm3twhUHcMwsgxtdjai3U7gWHLyH0KKFDanppeSxdMQNdB5pJ7VqwOsW6kafu/9/HV0BMgozaXzYC3tuiIeukP93CKZmYIoYrrqQVzPfY3O3Z9Q9z9zyH7zBhryL8R45vm0v/BaUl4TgGC2IvsS99Ro6zaSN/uyQZ+3omIVGdYpiR0kCCihKDEoWSaAwlvbq7ly9sie87yDKIosmP8UVstxVeXy8gsAD1VVm/F5R5CVpVbZ6fWlmEyRPRuCTgeB5LYxGMAQUtS8Xi+CFKAkP4dv3fYlfvnLX2JNh5/+T5I2ak5DRFHkS5ddyh03XN9nBGh7jJqugI9lb38fgKr6F/jj9keZ++xMvr/+X6ysUeXftdZ5vHz0w1O2XkVRE4XjwdRTIuzxePD2uPcdDkfUY3INFsyBg1HHCIK2z/DJsKpGkkaMnuQaUGJXP7W7A0wqDl8pZtVqcPb0hio26Lgqv3/JqSiK/NfcPB58e2B+T/Pvfk/xnx9AY7MRiFE50nj/77AuWoSo1yMHQ2gssStcTibU3o42V63W0ebkILW3JTxHJGIpRxeNMPPsHw8wwtGFVVSTbxsCOXzpbxdiyrGTPbWMYrNqgB54KnqCd/bEMxCW/Bzn+7/H7q2kU7ZT+M3nyfrZvxAjJHQPBtFsRvH6Ejom5HWComCwDpQzUEIynW8dpXvVsaihoqamTxPLpwFVGlsf+ULWdNfwxy2r2dheR3Gels0VmzGa84Aj2Gwl/cZarbkoioU9e+8kO6ecqmP/AiDg99LtjHydrtq6nXkTT18Ru109zXdHDB+GKIpJUztPc/qR/mRPc1wu1eNisahP5wufn01r+2ouHP9dADo7PwXgo0N/Z1PlY1w8/rtkaEUe3vHgKVujqswb36VkMBgwGo10dHT0VT3Z7dHLyw1aPd3a6LosWm0GkuRGloNodXYEQRezI3BIlvuFnz5s62ZDZ38PlyQrWCL0yMnXa2nwBwnJCs2BEPn6gePOu+YcDvk0VO4/njCrKApydzfWhQuxLFpE8x/+GHGNciiE8/2V5P/yFz1rFhGN4fsNRUP2eRF6DMpARQXtTz6V8ByDpWhqKSgy599/DV5ZTTzO0bShM6k5VaIocvkDV/Oln05iy9rYuWN5Z1xD6Z3vYL23Bfs9VX3bFUVBSVKVoOqpSczz0LLlDYJF4QX3XOvqcX1aR/eqary7IueQhUJHKClJLCyiICNGqWYs8/hYfddtnD1hO92BBm779Db+uPMNRDGAJA0M0ZpNUzEaJ2CxGGhtUY3Mc5Y9gtP5Hvv3v8mRI6sGHONub2fRmPKE1n2q8Hq9vPv22wB9xQlp/u+SNmpOczbt3oMiCOTm5vZ7wvvdnK+z9vqNvHz5Sj689lMcdlXN94qyZdy34MfoNBlJLQOPhqJIcefUCIJAfn4+dXV11NXVodfrycqKLaoVa3aDQa1m8fsb8fvqMRjyY+YNbWjuJtjznr7b0slNu45yxfYjbO9Wcyli9eAabTGy3+2lwusnqCiMsQzsISOKIn89r5RfPn5cSK3quuvRlaoVYrnf/x7ebVsjnqP1oX9gmjwFrU0NgTUphRgtiecuCAj9qqaEWKJ6SWTk+dP5ym9mIIgCJq2abKpI8oDuzrZheeg1Ibye+PO9TixtD3V4kZuSE1YTLRko/sSMGv++d7FOCx968mxvxjQtF/0IG54d4fV0XK4uNBoRjSZ+o1UOhhCiqOy62jrJ9qjXjkVr4Xubv0cxxbT725GkMfjDvMYlS/7EOUv/CYqMIKiGul5nJj//WuobfsCBg3cOXIcsY9YmTyYimTz9ygoAbrjhhs95JWlOBWmj5jTG7XazZf06Jsycjclk4l8HP6K88Ep2f1nN0XAYzIyzF5FnsvPhJf/iV4ufYE7OSBbklBHwHeXqVb8a0vmDrV68B9tj3txlRQLi/0EbM2YMR44cYevWrZSXl8d0BftCXqyB6FVEFquaUO107sPp2o/FMjrmOl5qaGdxjvqD/++6VubZLYww6XmyTn2SbuzyRdSoAZjvsLLP5eOJulYMosD0jPBhoUXnzScQCNJV16OjIstk3347AFqHA21hEQemTefworNwfnRcNFBRFDpffJGCe9TP0V3fgl3TjU6f+M1DNJuRXWroRz98OJnXXx91vCLH0UMi3nOLIub8LBRZJtTaxnNffxEP5rApEuf911mcq7tvcCcSBGTf4LRlBkxlsSXsqdF1VpAzfqDonhyQCDa6MY5yYBjlIFAdvvT8yJGPsWYkFsIJBd2ISmQDdd/WbTSPV8O8v7/891ybey3XjbqO9lA73pCdTZvviXjspEkPMn368f5ds2d9B4fjJ9hsl/cb1+7xIiRR9yrZtDQ3U1Q2jrFjk6einub0JW3UnMasWq/myFx89lkAPLTxB9gN4UM1eo2Gq4fPBFRviNk8lsMNrxOIUoYZDckZoPnv22l7fC/uDdEl0NWuwPFfSjNnzsThcODz+Vi0aFHM8TXOOtza8D12ejEaCjCbR1JX9yydnRvJylwQc96ROh07O90EZYVNXW4uyLWzLNvOup4Q1MEmJ1mWyE/NF+bYydZpebyulavzM7FEeVJdMiqTDz/agRwKEWxoQOo8HmYZ+dKLFPzylxT/6Y/U/2Q5rrVrcW/cyJGzl2CZNw99iZr30LBuP4Ulg2tCqs3NJdTUhKIohFpa0MYQHQsGJRTN0NSAT0YQRUKZBXSIuVx61/ywIROLJYBBM7iE04z5Uwhsii26GA+i1Ybsj18h2lV/kKApJ6woYqjNBwpo88zo8szI7hCyd+D3srFpLSVx9nvqRWeyIRHZkHMfaGX8wuMhsV9c+Au+svAr3FiSid28AbMp8vdKEDQDqrBCIS/BgIfNm49XWD686mNmTJua0LoHS6J2dnNzMwFnO+NGjUjFctKchiTecS5Nyunq6uIvjz6G4uxm1LTpWCwWmnqqmW4fd1Fcc2y85hUmPzmZs1fcxmdXJJ4/4d7aBJKCcWwmrs/qsc4vijhWUeLXqQEwGo1861vfQpZldHGUgYbkIJhiP2UNK/0aBw7+DJ0ui8LCK2KOv2ZkHq9Wt1Lt8+OXFSZaTdi0Gh6pbcEryQQlJWpUzarV8J/p5XzW4eT6wuzIA4FLLj+TXz34Jou8/0Zqa0M/sr+WieNKdb3DnnyC6pu/hOx2U/K3v/WVYAPsXVvPzCtia6yEQz9yJN6dOwnW1SN7POhHjog63uP1IqTg1+HMG8ez740dZI4Jnwwr2jIJJeD1O5GMK79E7Q//i/LrfjCEFaoIWSUoCZR0t29+BaF8adh9ck/vME2GXpXzBiRXANF0ssFwkOLiexJbZ4wQq+CXKSjunwz8VMWnHHIfIsuay8Lh5yV0Pr0uE0n+B+0dGt5buRlZLKazroRrLx58GXuqUBSFx597GZ3ZxrzZ8XU8T/PFJ+2pOQ15ddWHKM5u9FnZXLpY9dLcvOrnIJg4Iz9+F+qlk35Bd/d23ji2Mfbgk/BXdGIY5cAyu4BQqxepK/LTs6zEnyjci0ajicugAQhKQcQ47rBFRdcxY/rzzJn9Bjpd7ITAgCSjEQUa/aoEfKFBR7FB9YQ0B4JMLMqI2Myyl7EWI7eV5GLWxKgAKs2nWxZpfPBvWBadiWV2+IRS0/jxlP7vI9ivuLyfQQMgBYLkzxxcMqZ51kz8hw7R+dJLIIqYpk2LOt7t9SKmQHZk+NlTuOAvt0TcL5rtKELiidAAhnnnoTEm5ydNMFghjqaofRxdTc6cq8PuUgLqPIJeRHKq36Ngff+E9I6OerRaLTpd9OT2cIiCllCY8vNAKBA2180fCuLVFuIu+S+KixIrH5827WbOWrSFwoKfMWL4lTjb13LBsoGdwT9v3v9kLff/6UG8nS1cc8XF6PWD83Cm+eKR9tScZhytrOLY7l2cdd75nD1fVRUNSCFmFcyEwjkJzXXvzGvZ0bqTn3/yNS64eRt6Tfx3qVCzB/OMfHSFatVVsMmDxh7+ZqPIEiQQfkqUkBICIfbaBUEgMzP+96jW6SPHpMMlqTcdm1ZDhazedCo8fs7OysAXTF4Ipl3W0jxxFpMeeSTqOPOMGZhnDHyylCUZjXlwCb7WpeegcThoe+QRMs47D22MKhCPz4tGF0PwUA7GFC9MGEHAZBhcl3pBEBB1GuTudkRbEjo6x9mOQgoG8Hc1YcmJ0B7kxLeo5+YvnGQEHzr8Cg7HWYNZJXoxD19HPdbC/p3Ha+uqUGwDvV43li1gx2ELnc4DCZ9LEAQMBitTptwIwKa6f7OkfGgKyvGSiEzN5i1bCbo6GT99DmPKT8+qrDSp4fQyr/8/R1EUnn/rLYx5BZw19/jN+cdbnuatvb8nJCUuBvaDyeqPzxUf/DL+dcgKUncAjcPQZ8hI3ZE9NSf2fkoFITmIkIjCapzs6vIwMytDbcOAWiHU0WPEtARCfa79SF26E+WiYh3irbcPfgJRG2+R2QA0Vguljz1Kzve+S+Gv74k53uX1oI2RkOzzuTAoyf9cgqHBi6KJZiOCYWAV2uAQII4Kwrbdq5ALpkWeped9VPwSoll9v7QF/QUU29s+ZML4wVXnKCigGXhhNFfXoskd+F5YdAYuGTaLUbqhKzBLBitBKTE9n1Tj9/sJuLpYsux8rrvswqSqp6c5/UkbNacRTU1NBNtauXzpkn7uXLPWwpyRX+b3s29LeM5lRRNZfuajVDe9hTPowx+SqImRs6AEJVBANGoQtOo6/Ecj/wDKKfbUSHIorvBTohz1+Tm7yIGh5732yTLDTaqberpNrWSyGrUcaU6OOnOWzURL6+BvJIIooIQGl/gNYJo4kdxvfQtNDLFDgKO11dhiKBd7utsxioMLFUUjJEXXLYp6bJeLUOX+5CxEb0Dpbow5zL3zdeyzInfl1mSoXkapO4DcHei3DcDjaUNWZGy2wfUiCkjNGO2FA7Z3VrfgKA6fEK6XuxG8SXifjGVsb0ysE3uqqa2tQ0ChbHhJ7MFp/s+RNmpOIw4fq0YRBEaVHXfnyrLMij2/5TuTrhv0E8e5RWqZ6O92vcotH65DiNJxVz1pz39POF9Uo0aRVB2UFBGSQ6xtdfH3195FGsJN/WQ8ApRaDGT3iOa1BkK0BdX5s3XqtuFZZjYcTY767uQJw9l1bAhzCSRUkTMUjr7v4oJzoovAuZ0dGBPQVDkVCBoR7fBxSZlLl5NF6Gjsbu/6lt3kTbsg4n5tlglENYQbbPIgZugRTxB03L//hUGHnlyNlQho0BoGhiXNdQITZ8wMe5yizUFjHDGoc57IOWO/zoEjf+SNA8/EHnyKeH/NOgS9mcLCgYZemv/7pI2a04jmzi4Eo6kvgfaYq5XJzy5CQGJ6VoR4fRzkGDPIsM9j1bGVrNZnsO/86OXOQo82ixKUVY0aUSDjrMhPPc7uLpqaonfaHgqBmko8oo7/cRRSvDb2TSYefEEJUVBzBEYYVe/MUa+fCo+fDI1Ilk71Zo0vsrGzpjMp58yym3EOwSbTigre9lPT00vK8FHQ01YhEt99/5vU6JynZD3xIoiapHkNtYUFBCsPRR3jbj6GpLMhaiPnfAk6EX1xBr5DHfgOd2AY0b+XWEvLB4wfNzD0tGnTJl555ZU+VfGTkUJB9m35MWOm/3TAPpfPhaIFjTa8h1OrMeJy7sETCK+ZEy+lGYVcd8YrdLS8hSfo5cnNA9dyKgkEAjQdO8KC+XP7Nc1N8/8PaaPmNCLHloHi8/YpAT+w5w1EuYtrJ/9kyHN/dtkjuJ3bQA7E/LILWhFBr0F2B1F8EsgKYhQVW4vFTEHB4Fzn8TAq4OGWqiPUnzmJsc0NhDyJd08+mQ0NXRT0eGPsOi0jTXo2dLrY0Oliaoa5zys2e3hW0sJPLn8Imzh4lefyWXms/G1ydFhi4tOwfW/08ES+34Df7yHgG/rnkSxMY0txv/6/SZlLVzKCYM3RqGPaNr4IEUq5T8Q8Kx/fvjaCdS4ss/L7tvt87YSkEFlZ/fViGhoaeOedd9izZw/vv/9++HMfWkuGcQq2ooFl/utXfYC2PHIl1ZyyW5EFA5uqh94E1KDVI0tePl07hRLni0OeLxayLPPh6s/o7OwcsO/gIbXD+Iwpk1K+jjSnJ2mj5jQi125DUJS+Ro8jM4qYOeJWfjHjpiHPLQgCxZYpzK+N3GfoRLRZBkJtXkKt3p6/Iydfqm0SUvdUpBFClDqyELVaphLiWHX0BpDx8GlzF+Otx132F+c6eKmxnU/anVyS5+jbPq8si8bu5CRCGrQiviHkHE/88rK421EMFeNwiZrapujryZ7Abkc3b77zl1OypnjQZGaDLjmJwrphowg21EcfdORDsudcG3Muy+wC7BeVkXnVaIxjj1dmHTjwIraMgSrEu3fvxmKxsGTJEvbt20coTNjV66zBahtY2SNJEvbNCjOWRQ5pmQxZ2BxzCfiG/l0CWDztT2h64tZHOo4kZc5IHD16lLUff8CjTz03YF9dUyuKqCE7O7puVJr/u6SNmtOIjAz1yarX3by6fgPXlMV+CoyXx8/5I0fYjycQ+8laV5KBv6obf1U3aAR0+ZGTRhUlMUXhRFGUIGKP0VRm1HGoIXzvnETY2elhbs7xJ9nvDMtjvsPKpXkObig8ftOxGnVJq37yh2R0gcGp5fYSlESq39+SlPVEQ7ejkLJRkQUXAc4sPxddCGZNjZxPcqrRZGbh27Q6KXPpyiYSamqJuF8OBdEEu7Hkj4g5lyAKZJxZjGV2f49mU/MHjBs3sGVFbW0tI0aMoKysjFAoRFPTQANT1JgIhQZ+l2VFxpMRxGSK3s09O2McTnd0T1S8lDnKmTp/My1CKZ8e/GtS5gS1InTlhx/xt3/+k0kNG1n/4fs884yav+Nsb8bt7q+mfLjyGCZb2qD5/5m0Ts1pRK9R093dTX5+Pk5fK5Ozy5I2f6FDTZzbUbmDBWOj59WYJmbj2dJE94fVGMdm9eXZhEOWU1vSHXR1ojGrFTGjHXYq2juHPGeVP8DZRce1Wuw6Lc9PHRV2rCgKeAIhzGG6cCdCTV1r2HJjSZa4f9P9uIIufjHvF5h1kW9G82+YzNvP13HHOXJYSf5kMm5E9GvP5ergm7pzGD5qekrXkQj2H/6BmksS03OKhHZYOcGOyKHHxrW/wps9tK7PoZCfvLyBHejb29sZOXIkOTk5fX8XF/cPUdkLp3J0198GzukNENDHTt4anj2LiponBrfwMOSYsjhz5uO8u2/oRk1FVRWbd+7iwPZtfduygZr9nQDMnz+f9evX84c//AGd3ogjv5hMm4XW2komTQ8vbJnm/w/SnprPGZ/Px6PPPcrDTz2MyWRCETVUN6tPhwHJR7Y+elltonxv5PfYUhf7Sd84LgvzrHy0DgP2C0ZEHauGn1J3KXm6D2MtVJVPxxTmUeEdegWQD4WCKH2dTiTfZmBT5dAroPa+/RHT8gaec0XFCl44+ALvVr7LU/uit7QYsWQyuZrWlIahgnIQZ24T2ghJpr34A24MSQr1JAtBEBBEEdk99ARmQa+HCF46T81HGHY9QvPoocnvC2Ek5RRFwe12Y7VaMRqNaLXaAR4JAFvxWIJyK0Fv/3211ZVI1tjXR35GOUpoaInCJ1OUMQJD4NiQ5li59lOefuKJPoPG5HBw5513snz5cqbOXsB1113PueeeC6LqvQ0GfLTUVHBo7y4EnYGLli0e6stI8wUm7an5HPF6vfzl4b/gc6oN71auXokhJ4ft+/az9IwFSIoStUniYFAkBU0ccwqCQNbVY+KbU5FTGn7yhuqwl6mepZEjSqnbtHtI87kDUkLqpOW5VjZVdrB4bH7swRG44cdP4jUP42vXnjtg38qqlcwtnEuBuYD3Kt/jjql3RJ1LIHbPn6EgIsYl3+oLeNHrBqdwnEqsC+fR+ee7yfzZQ8l5nxRlgBEZfPvb7CobhTYFuWSSJKEoSl8VZCgUYtOmTcybNw9ZkvB11GPuUS8268txNRwks+y4cdVwqIrM8tiJ+6lobSAIAiL9vUTd/i4Ckp8cc15cc+zYryodl06cxKJpUxk5cmSfgX3FRce/Pz/43nfRarUYjUYEQWD3nr2UFBdhNkcPu6X5v03aU/M58uaqN/G5fFx/w/WMmjSKbVu2cd4ZZ+Cqq+H5t95OTBc8Trp8XTiMjqTOKcshhEE2IYxrfjGA3qq64bV6PaEh3qj8kkw3MvXu+PJbZo/IYscQyrrdnd2sF3PYYSrAnu3ot09RFHa17mJOwRzmFM6hoqsCdzBy12WARoqQevpVpQJFUSAY+z0OBL0Y9KefUWP/xq9oeuZjnP++b8hzCQYDckf/fBY54EKQJXy6LIYPv2TI54gHq1VVWa5c9092bPwqBz64D1mSUZQQgqb/s2mwzsWoCRPimlcR9Lj8ydFhArWfWkjsrwj9yo7/4Z0tX4/reLfbjbe+lrlnn81Xr7ma0aNHR/QYOhwOrFYrWq0WjUbDtKlT+sJ1af7/JW3UfI7U1NeQXZLN+DHjuXDxhRAAWfIzee48Dm7ZTKYv+TeM1c2ruX///UmdM5WeGjkU4OQO4PmyRHV9bKXXSLxV3UrArMUUowllLxdPKeTwEMq6taLAPKmVvT8ZWOXS5e/CGXAywjaCEbYRANQ6o1eklGjree7br1L55vpBrykaCgoYYpee+4M+jPrYT8V+yY8neOrKvkV7FqW/+RbB6qEnwepyswj2CPB1bXsA14PD8T40HsmSCWjIy4vPeIiEwXiQIxUf9tum0WjQaDT4/X4URUGj0TBx4kQA2rs/Y+6yN9CaLWx/92s4A3vJKO5f0q3xCeTmxCexoDXkc6xta9h9kiRx+PBhPAlIKOg1Iigybx18hhd3/4MXdv8Tk3cbshCf9+SNjz5BEUXOmH765Gml+WKRNmo+R9xdbvJz1ZBGTk4OphwT67evZ8G0qQAMtye/Edtz1wwsgxwqcgpzaroPb8Ag9ndbz8wwsmH/4UHP+XpNG38vLSLTGF+DT7tZjyIreAKDU84TJAmdCBaHbcC+dn87ANmmbLJNatVGmy/6k/Nlf7+ZyQtyqd1WM6j1xKKpqwW9ucfzJgXhtW/Cs9eCt7PfOH/Qhz6Gp6bN28bFr13MOa+cw9HO5FTaxINoNOGvqELxDs2Y0hUV4lnxM7r+Wopm3cNor38F8/eP4bh5LYosYTQOPdThclb3+1sQBKxWK06nE4/HgyRJfZ4aBQmN3kT5Gd9j5OQ7mDz7QTQnCP8piqIapXFiMY+ksTN8OHflypU8++yzPPnkk33aWfEQUmTa29fS5T6K7NzI/On/RonDu9rR0cGhrZuZMnceNtvA70qaNPGQNmo+RySfRLb9ePnhiOEj6GzrxOlUkxznBpMv820z2xgtjE7qnIoi95VcJ5vOw6vJyOkvpDV3XDmbGwevYFztD3BmkSOhY8rzrby+PYZmSQT8/gD6CN80X0jVwDFqjYRk1WhaU7sm5pz5EwoJ+JLXMuJE6hqbMdh7Ps+dL8DO5+HoJ/DpA/3G+UM+jIboiezPH3geZ8CJWWvm0d2PpmS94TBd+GWk7k4qlw2tEkrMzkCoOoZy1l1YvnUAY/5sBFFE0OgBQQ3VDRF9GG9XdnY2zc3NtLSoRQO9YZXediR1B/bx1kNPc3BLf4OktuoowYz415SdMY4u18AHBL/fz9atWxk7dixNTU0cPRq/QXrFnEe4Yc7f+Pq8P3LjgscZYR9Y3RWOzbtVj9gFZy6M+1xp0pxMOlH4c8Ln8yHIArmO4w3ndFodiqQwYsQIAFxd7Z/T6hJDSWFDy67WLZSe/YN+2yaMKadiy+Cb8fmBfLM+oWNmDc9iU2UbN84dlvD5fL7IRk1fzywFND2GYbYxts6GghBPA+lB0dzUgTW75/3Z+xqUnQXZ5bD3dVj2m75xQcmPIYZRs7ZuLYtLF1NsLealgy+hKMop6ZosaHXk/uTXdDz2UMyxoe5u/Hv24Dt0iEB1NaH6Brp9e1FCEppuLzllOeRO/V64I+nqqsfhKA6zLzaSpOZFGQwDG3gOHz6cdevW4XA4MBqN5Ob2/k6ohtQH//t3ultbWP30Y5TPnoc9T/X4Vu87gmlk/GXmxVnTOVb/nwHba2pqkCSJZcuWUV9fT2VlJeXl8XmOs8Lk7Alx2Fk7DhzEUjIsneibZkikPTWfE11daoPIrMzjQm9OjxONQYNer8dR4iAQPDXNC4eKoqROp8ara8QxvP+Tm0YUyVBkGpsH560ZzD11QpGN6vbBhTL8/iAGMfxJLTrVKHAFXUiK2mh0Wt60mHMaTRoCcSY6J0pzcwe5uQ616qd+Gww/A4YvgM5j4D4eGvNLfoymyEaNJEsc7jjM5JzJTMqeRKe/kyZPdJXiZKIfPYnOzyrxHTgwYJ/s99Py0EMcOWcZR8+/gKbf/R7Pho0gCJgXzEealYn9tusYv2IbuX+J1G/MwdZtiwa9vvc/UJXCR406f8C+KVOm9FU9TZ8+va9SSUGiva6Wttpqzv/m9xG1Go5s3tB3nKeqnbFTp8a9hmL7RJTQwIen5uZmdDod2dnZFBQU0Nw8eMFLfygASvTE9q27duOpr+XM6dMGfZ40aSDtqfnc6DVq7PbjT2kZ5gyCriBtbW0E/AGsGdZIh59WKIqsNhJMMsGuNgSNFlEcmPtyXk4Gb23cztcuWZbwvPE8NZ5MeZ6VdvfgjEyfN7KnJsekhhWaPc2IPd6u3m3RMJXkE0iBzfvkSytoquriwrPOBF8XeDsge5TqqQHoqAKL6knySwEMxsj9hdp8bQTlIMXWYoqtqjej0d1IgSV1fcJORLCp3ovKy69g7M4diAZVI6jtqado/ftDmKZNo/jPD2CaPHnAseaG+ez68CuUEs5Do3LBBS/y0cflhEIBtNrEPH8AWu02JCn8T3BmZiY33XQTdXV1zJs3r2+7Tsikbs86AIZPmUH+yHIaK9Smm+1tLVjb9eTlxx+21mn0YUNo3d3d2Gw2BEHAbrdTUzP4/K23Dj2JPee8AdslSeJ/X3yZxkOq0WkrKmHmlIGfRZo0iZDQ4/XDDz/MlClTsNls2Gw25s+fz7vvvtu3f/Hixar41Qn/7rgjuubGrbfeOuCY88/v/+TS3t7OTTfdhM1mw+Fw8NWvfjVi59ovCoGeO5LBcFyM7aIlF6Ez63j02UfxtHsoyY/cGRsAKTU5FYmSKk9N6+4VWA3jwu67cMEcPuxK/BpQFAVlEJ4aq15LUBpc/kTAH0SvCX9Ss85MgaWAwx2HOdRxCJ2oo8Qa43MHDBlGJE184oGJ4PrIitKpp7AgFzw9XhlLrvoPwHPcOxaQAxiieGq6/aqwm8PgIEOvGj/1rnjykpKjZRA6uoOMKblo8/OpWHYuvgMHqbj4YjpffoWy119j2CP/CmvQAJgKR4Og4G2qjDi/IAgEA5M5dOjDiGMioSgKgUA5Zy/eGXFMWVkZZ555Zp9eDUDx8BvxdH6MJTMLg9lMZmERXc1qJeDOlZ/iGZ/491BBJBjq39/M7/djNKrCih0dHWHbNMRLd+cmziq7csD2Pfv39xk0WWWj+MHXbuv3WtOkGQwJfQNKSkq4//772bp1K1u2bGHJkiVcdtll7N27t2/M7bffTkNDQ9+/3//+9zHnPf/88/sd8/zzz/fbf9NNN7F3714++OAD3nrrLdasWcPXvx6f7sHpSm9ewYlVBQaDgS9f/2W87V6QYNKYCJ1mFQVeugXuK4ZD4Tv4nkrkFJV0t9V9THZp+N5XDrsNsyyzvyqxJ0iFwXlqvCEJTYQQUix8gUBEowZgZv5M1tatZU3tGqbkTkGnif3DLmi1oKQmqcZk7zl/741OZwZZDY2x9/W+cQE5iNEU2VMTlNWQg06jwy+pobK1dWvjWIGAkgSDXTN8Evj9jF79CaZZM6m8/HIcV1/NqDdXoCuK3tcKoLD4aqrWRJc/EAQ/Pl9Hwmvr6KhHq7GiS1CROWfcQkLaesw21cNrstnxOruRJRn7EQ2Lrrg44bUIuizquvb22ybLcl/Iq6KiIuE5+6EE0YsDDfBth48g2Ozcc889fO+WL6VEDDDN/38kdBVdcsklXHjhhYwePZoxY8Zw7733YrVa2bDheEzXbDZTUFDQ9y+e0jyDwdDvmMzM44lu+/fv57333uPRRx9l7ty5LFy4kL/97W+88MIL1NcPrhrldECjUcM1kiT1215aUsrNt9zMtTdcS9nICL13qtbCvjfAmgfv/1w1cj5H1IaWyQ8/uYKHyZkcWdzs7pkTuXf99oTmHOw7Vd3mocWZeA6Lq6mFVZ/sUvU7InDV6Ks40nmEdfXruHrM1XHNK4giTRTRtiv5HZELR9t6T6L+V5FB7AmTZB2/JgNKCIM5slGj7TkmKAUx9HiV5hfNj3l+RWNFqh/661Kcbbgq1DBvTs9DkP3Kq+I+vnj+N+gIblXbgERAox1FVlZpwmurq1uP2RzeCxkNUaMBRUGrU8NdO99/h87GBhoba+nO8sdlEJ+MyVhCfUf/KiqtVtvXGXzBggVkZWWFOzQuDJbJbK4f2GS09lg1RaWJJ96nSRONQZvGkiTxwgsv4Ha7mT//+A/Vs88+S05ODpMmTWL58uVxCTd98skn5OXlMXbsWL75zW/S1nY8GXH9+vU4HA5mzZrVt+2cc85BFEU2btwYcU6/3093d3e/f6cTvRn+4d6f8rJyJoyNIup1aCXYSuD830HrQTXP4XMkFTk1khQARUYbxRMwZuI4ikJBVm0ILx4WDlk5WcovPrp9QYZlJV6V8dHHO2gICNx63VkRx8wumM2DZz/Ibxf+lotGXhT/5IpM/YaDCa8pEv4eleLZM3uuPX1PTpev+7jXpuT49zAgyBi1kT0NNr1qHHUHunEF1FBhaUZsA0AIdaIpGHojV03+cCxl6hqM48aR9+Mfo7VFvp4GHG8wYw+Op3b9PyKOMRmL6eyMHKKKRHv7DrKzB9k3ShBQerx0BeVqKxNXexe+zMF57hyWMtqc/a8js9nc99vkdruHVJG0uPxGqupe4rW9/+yTLfB4PEid7UwrD99ENk2awZKwUbN7926sVisGg4E77riD1157jQk9ktw33ngjzzzzDB9//DHLly/n6aef5uabb4463/nnn89TTz3Fhx9+yO9+9ztWr17NBRdc0OfBaGxsJC+vv/iaVqslKyuLxsbIqrL33Xcfdru9719paeJPU6mkV0yrV5MmIRp2QslMKOnpRtu4K4krGwSKnPScmo5DqzDLsT+zuy9YzM1eDU0t8Um9yyiDcte0OP2UZCWu8LxqZw3zR+VQMDJ62e+SYUu4ZNQlcZc7yyEJh9TC2OsXJ7ymSHR7XLiH11M+oufp2ZoHCNBdB84GdVvG8STUoCijC5PE3UuOKQetqKXWWUudqw6AAnM8ScJaBF3iibdhOeGzzr7tKwkfXn7hfdRWPh1Rj8ZkysHtTjzfxOuroLBwZsLHyZKMIIDf6wUgp3Q42SXDOLb/EFnDBtebLM8+Aaenqt82h8NBV1cXwWCQ9vb2ft7zRCmyFqIoMramP7CuR4Op18s+anjaU5MmuSRc/TR27Fh27NhBV1cXr7zyCl/+8pdZvXo1EyZM6JfnMnnyZAoLC1m6dCkVFRWMGhXeIr/++uv7HTNlyhRGjRrFJ598wtKl4fMp4mH58uX86Ec/6vu7u7v7tDJs7HY7iqBQ01AT8b2JSGc1FM8ESw7oLOrfnyOyEkIT5eY2GFor3iUz94yY47Jzsnkvu5Fb//Me1xdkcdWys6ioqedre6u41wLnnn9Ov/EhSRmUp6au00N+Rvz5D5v2V/KfN9+jRTQxZ+7QpPTDIWo1aETQZSRP02PP0YPYck6YT2uArJHQtBdCfhB16t89KAJ9FVvh0Igayh3l7G3bS6e/E5veFl/lU5JkbAK7NxB0RQ4dxYMhtwSLMILGDU9TOP+WAfsLC+exbdtvE55Xp9vE9u3/y5Il/5PQcW1HPkUrleBqa0ZRFJxtrVizsineZSZ/8eCus2FZM9h2+E/9thX15BxVVlbS0NDA+PHjwx0aNz4hgwAGGir/wDpRh7ZLTTC3WKLrHKVJkygJP17r9XrKy8uZOXMm9913H1OnTuXBBx8MO3bu3LkAHDkSf3y8rKyMnJycvmPCaSSEQiHa29spKIj8A2kwGPqqtHr/nU5oNBoMdgOHawYh9+/tBHOWKriiyNCZGrn8eEl2+Eny+2jvXEfBmQNvIuGYNmUiz159PgFZ5sbXV/HTbfu53qyh3TmwMWRIURhMvu+Omi5mj4ieVxAIhvjjUyv48f0P8cbKjzl36dlkiO0YTMmvUgIQBSmpQnZ7N1czedZJ6q8jFsLhlXDgLdUzqD3+WuJJuF5YvJCPaz5mRcUKzig6I771hpnXG5B4en0VRxLowRU8vAP74sS9ISdTNOUrNFe+EXZfYeFkENoG5MbFIhQ8A7cntnL0iXQd20/F4T+RVXw5Qb+PzsZ6WqorySwsJqiRsCQQWjsRm6kQjeztty0/Px+Hw8Hrr79OKBRi7Nixg5q77xyW4bTbriCr6CscqvwnOyqOonFk9av+TJMmGQw5ZiDLMn5/+ATKHTt2AFBYGL9uQm1tLW1tbX3HzJ8/n87OTrZuPZ438dFHHyHLcp/R9EVBURT279vHjs2bkSSJYcOGUV9Vn/APIpIfest5Q17Y9K/kLzYRFDmpicIVr99FTs4SdBmxlXV7ycrJ5vYrL6JLq+OPM8dTmGEhXP1MUJIREzQEOtx+KppdXDI1+nX820eep7Whhv+58xvc+4PbWDpzHJNtZj594pHEP+M4UBBx1Q2+XcSJSLKEsz7I3CknCbfNug06jkHlapjztZPOH9uquWHcDehEHe2+dr46+auDXt89K/byizf2csP/bsDtj68ySvF5EfRDD2Np9CY1GSsCRmMZlZWfJjTnwoUPoNO1JdRT6cCenzPljIcYNv0MRI2Wja+9TFdTI0Z7Lk153RiNg2uAG87QFEWRiy66CI1Gw+LFi8nOjv+7GI6bp93FTbPupcQ+GgylNNXXU1gSW7ogTZpEScioWb58OWvWrKGqqordu3ezfPlyPvnkE2666SYqKir47//+b7Zu3UpVVRUrVqzglltuYdGiRUyZMqVvjnHjxvHaa68B4HK5uOuuu9iwYQNVVVV8+OGHXHbZZZSXl3PeeapY0/jx4zn//PO5/fbb2bRpE5999hnf+c53uP766/tcpF8UdmzcyIsvvcTrb7/NmnffZen8pSh+hT37IymWRkDUgXyCQue4xMs4k4msSEkr6fbUHaZV2sCoZYm79AFWX3cB48eWoxVFgmHyIAKSnNBFf7jJydl/Ws13l4xGG6aCac2OA6z4dAedbh+0VHD1ZReh1x2P6n73rjuwWzPYeJJMQTIw6UJoDMkJ+63a/BmZJUa0mpMi0kXT4da34PrnYFL/yiEhjjhRnjmPt694m/evep+xWXE87SsDM7ld/hCvba/jS/OG0+L088G++HJYlGAAMQlGTcjvRCSyR2FY6YVUVb2V0JwWSw5u92x27nwxrvH+rmZ0ZGHOLMFgtjDxrCXsXb0Ke34BurxsDEWD89L0IohG2j0N/baNHj2aO++8k8WLFw9p7l4kWWbroT9TJJyL1NnOhGGnTzpAmv87JHQnam5u5pZbbmHs2LEsXbqUzZs3s3LlSpYtW4Zer2fVqlWce+65jBs3jjvvvJOrrrqKN998s98cBw8e7FPT1Wg07Nq1i0svvZQxY8bw1a9+lZkzZ7J27dp+bslnn32WcePGsXTpUi688EIWLlzII488koSXf2rZsmYNGXo9o7OzObR3L4WFhegdejbs2BD74BMx2o93TDba+1WkfB4oSfTU7F/1bconLkfTU5p6sP0gT+x5AndwYCgpGjpBCOupCclKQp6a257czG+vmMztiwZW42zYd5SPXn+BdZ99ygcb9+Aom8ascSMGjDv767dzdO8+/r18OY/ddVcCryI6gYCCzpYc1entH1dx/oURyq1HLIRxCVRlnYRVb8URph9QWEJ+FLn/tbSjupOAJPPlBSMYV5DBxsr4ksKVYAhBN3TRdMnfjUYT2QtSVnYe/kD4TtfRyM11oNM5wu4L+ZzU7zhuKHk8NRiE457CJV+5gwu+cyfX/ep+fC4P+ozBeWl60RqKqG7dPKQ5YrGudjVyqIzP3l4DOj3jR8fXSypNmkRI6Bv/2GOPRdxXWlrK6tUDtQhO5sQqApPJxMqVK2Mek5WVxXPPPRffIk9TZFmmwe1m6VlnodVqee/DDwkEAhQWFVJXU5fYZPZi6KpRZex9XWp5d5wko6vwwEmT06W7edPLoBPJm6qqj7qDbm5//3Y6/B0c6jjEb8+M33ujFQWCYV5qQFISsuTdfokLJx+/mXR0u3hixUc4W+rxBSVMxZOQ6yvYtHED3/tq+Eo/nc3Gzfepa//3T5YncPboKIho9UN/3yvra9DIWkaUnAaez6AHhf6v6UizE71GZGSOhbEFGXHn1SjBoCpSOERCAVdUo0ajMaDV2mhqOkx+/ui453W5DjJ3Tnhxv4Y973Co+6fkOc9Bm2FECvrQCMfXoNXrmXDm2fj9PuzrZAq+O7RkdKtlNE3dO4FLhzRPNFpaGqj5BBBFfn73j9Em4bNJk+Zk0lfVKcLj8SALAlmFhWi1WhRBwOv1Mm7EOKr2VREKheL/kudNgGPr1NJugPz4f9BSYdQoSVAUlkMBKg79jqnnvtS37cPqD+n0d3LLhFt4bv9zLJ+7vE9uPxaRPDVBOf6cmk8Pt5BhUD+TkCTzzHufsWfPXqxeVUogd9h4fnjb1Ww7dIzRJQVkmE9d0qOnuQOflJyy5w2b95A5IjFlW2BQ7SZioregVfqHl5qcfvJsBjSiQIHdyPbqzrimkgMhtOah/8QJQQV00a/v/LzzOHToJfLzfxbXnB5PK4LgQhehdD0QbEfvz8fdeBR7xgRkyY8gDAw1Hti9E7fFT37e0AzSYLADfyC1bVekGjV/KKuoJG3QpEkZ6SvrFNEr/mez2WhvV7viGgwG8rLzEBDo7u6OX7Vz1BLY+jh8/FuwFkBuguWWSb4ZJUNR+Mg7y8m2LMScdzzMs7VpK6MzR3PNmGt4at9T7GrZxRnFscu8AXQakVAY+01NFI5vTT99bQ9njVF7Hv3r9U9o2b0GDDnc8NVvoxEVyotV/aQZY4ZHm2ZQNHztYoJ1DX3hEyUooc2yEep2k3ndNRz1TMJqiNz5OOAP8siPP+CWX5+FzRG5bPatjz+h/V0DnuGJS/03ik5a2qrJzU6i1ojWgN7kQXZ1IlodALj9Iaw9xuW++u64u6UroRCCbugl7wJaZCF6ove4cVfx4UfRNbl6ee2117DZRPT6et5YMZ8rLh8oIqrRGzCEiulu24d99ATkUABRM9AAsr3iQb4yRiGGtwNe+6YqAXHxX+DkvCnA1/kJw0f+aOCxSUJRFPbuUCtab7vumpSdJ02atFFzijjRqKk+fBhRUTAYDH1duru6uuI3asZeAPmToHo9XPhHSKBnSko8NciIQyjp9rZV0da9mrnXfdZve2VXJaMzRzPMNgyDxkBlV2XcRo1WEAl3yw9KCpo4PTUOs44l41SjpmX3Gs6/5kvMm3hqFFAVn4/iR55BU3rcYA3sXI1v0xqCRw9S3VrAyKmRu3l/8PJGlICWp3+yka89uBCDIbxHYM9H9Yy7Mp+x5XMSXuMSZRxHa/ck1ahRZBmfOxNh1xqMC9RQiKLQ51072hJ/bpUwSKHFk9EarMiSL+oYo9GBIGhwOpvIyIgsgtfZ2cnOnTsRBAGt7iqmTwufi6M12tArhThde4Grkbw+NPqBnsBaRwtnzrk2+gtY+wBUfKRWTQ5fANNuHDBk1uSH2LDnv5g/6tbocw2S3ge5oqI8MjKGltScJk000h3EThHdLS0IioLFYsHV3o5JFBEEoU8/p6u7K/7JNDr46vvwrQ0w5/aE1xJP1UoiDDVReN8H36Rs1J2Iuv4/2i2eFvLMeYiCSI4ph1Zv/OXLOpEI4af4dWokWUGnEXF6/fhMuafMoAF6qoD6fz31U8/CMH0hzjWbCdUeo+yc8B2mmxvaOLKhgxt/MwtFUNi3JYqMv1bh8nOXMr4s8aRNo9ZAKBRI+LhoSHWH0em70U87+/h5dCK+oOopuXJGMYX2OENlopCUtmiiwYoseWOOy8o8i/37X4o6pqqqClAfLu7+8W8BHV7vQC+ZzuzAqC3C5dsHgLerGqOtv0cm4PGhk+N4Lt33Osy4BUac2a8h6YmU559JoZAceYBwvP22WvG6cOHilJ0jTRpIGzWnjOoDB8jQaBBFEXdnJ6aemLJOp0NBweOLz6Xeh94CeYmrfKYqUXiwOTUte14HX5D8+TcM2OcJebBo1dBJnauO1468Fve8OlEkFMZ4SySnpshuZE99N6+u3k5xkhrvuRSZHS+/HHugokAY75dh1tkMe3czWRNsVH/2KYosIweC7Hr8hb7Gpvs2HqN8XhbZuVmc/dXhrHu6jv+9Z2DJsT8YAHHw14NG1BIKJd7kMxqKz41fPwnxhEaZWRYDLS71PK2uANnW+HKJBFGIqi8TL1qTDVmK/TrHjbuOtraPoo6pq6tj1qxZfOc731HzSoQQYpgO1lrJgqILoddm03F0G+3dn5EzelH/MQZ9bKPG3aoqjo84A4afAXWR+6S1yKlR9w0EAhw9WgvQ11InTZpUkTZqTgFtbW3sra1lbk/jz2AwiK6nS7cgCCCCNxD7STAZDNWokYIBlJOE5AabUyNJQY7s/i3jl/497H5FUfrJ8Lf72uOeW9WpGbg9kfDT7JFZbK5s58De3Vxyduzu0vHw5W9/mx3btvHq/0SXx1fCeGp6EXQ6zrznm/jcAVb95gm6a+tYuzGPoys/ZMenh9j7Xidjp6saIBNnlfP1vy0i5NTi8/T3qrjcbsQh5BrrtAYC3uRet4rXCSfljgzPNuP0hWhx+qlocTE8K86bryiiJMOoMWYgybGNGoejGFnx4/dHrs5qbm6muLiYnJze0GGAhoatrF79U7q66vvGueoqMWbnM2b2T6nY/2cyrfPR9+QY9fLxC6/hF2J4ytp7vHTZ5eo/Tyv4B/aba3EewSak5jdo9261N93kyUNrtZAmTTykc2pOAR+9+ipmUWROj4iVwWjEH1KDI4qiIAgC/kByn3gjISvykMJPj/7ubjJCbWDJozdhIeSoweB5n52Vv0IrGNFqzGg1GWi1GWh1DrR6B1pDNlpDDlpTHlpTPqI+j8rPfk+WPAtz6biw5zJqjXhD6g/tCNsIziqJ3On6ZHSiSCjMywwlEH46d0IBT60/Rr6nkRGFkfNXEsE+bBi33ncf/14eq7RbgSiGoqjVMuubX6JxwwbeeXAjpdYONr4bxJPt54IfTKVs3PEyf51OS84IE4/96FPQhrjjwaVoNBqcHjeaGFU90TBn5uBua4g9MAEUn3uAUTO11AHA6kMt7Krt5EfLxsQ1lyAKJCP+pLXlEZLjazxrtczm0OHXmTwpfNJwV1cXI0aMOL5B6aTi6K0AbNnqYemSvwDQ3r2acTN+iSmjmFkXPR12LqEpyKw7r4i+IE9PSMmSB9YefR93Kxj657WEZAmfnJpn3O7uFgAuv/zqlMyfJs2JpI2aFNPS0sK+2lrOW7wYnU4tycwsKGT30aMoikJFRQVIMHbk0HqrxIusyEPqF5RhELnx508N3KEoKAEnIU8jIW8TIU8zIX8LIX8boUAHHnc1oZCTUMhF0NeGr60NRSxj2rWvRzxXljGLdl87iqLQ5m0j0xh/p+BI4aeQLBMMxVe6OiLHgssfwqVJjsBdvCiyrN6MNbG9XwXz5nHV2DG0799KYNtDDP/Od8OOu+a7Z/HE79/GXSeyd9NRpswfjcvrQasf/I1sWOE4tu37cNDHh0Pxe4+3AOmh2GFi+jAHP31tNyFJ5oJJcbZdEYSkeGqMWcVIop/WHW+TMy26CGH56GvZs+feiEZNMBjs1/F6xIhfIsseZFmhpvZxXK5WzMYsgmIbpozond1FGfTGGDICwR7vi84IrT195hp392tMClBoH4tHdESfa5BIUgC9XhVbTZMm1aSNmhSz5cMPMQoCs848s29bVkkxQUGgq6uLF994EXO2mbKRAxVrU4EsD81TExFBQDDY0Bls6DKjP0kH9m0gtH055l9GF14szSilsquSNl8bzqCTYbb481o0ikKdpLB19z7ys7PIzcnCoNczNcdCx5Z6OluG4ciNXG0myzKiKPLj88ayalUtz7yzlpsvPDPi+ESRZaXvHCfi3/IRlV/+FookUKiLT/fGkJmFPi+TQIzy5Vt/fBHP//lDNr1/CI1WQ213M82+xkG/hpFlM3l9cxgDdyj43KAdmAj82ysmc8+KvVw8tYjSrPjKtAVRQJHi760Ujbysc9nZ/j2WEt2oKS6ayI4dbQSDPnS6/q8jXOh3woTjYneS7GfL1j8yqfBSLIbYuScScby23hCmIqtNcOH4f0+eT9CxrfoNZgy7LPa8CXD06CHy80+vhsJp/u+SzqlJMc7GRmyCwNEDB1jz3koCgQAlPY3c/vb3vxFwBfjytV9OarflaMjIiJ/7xy4QT63t5JzJ7G3by+qa1X1/x0tudyfTN37KG3sPcd9H67j1pbe5+pk3uPXdjxlVc4xNf/pnxGMDwRAbps+jZsM2bpw7nIfu+hI7tm7i1w8nT9U612SkasuWftucT95H1xMPkrV0ImPWrUV05MY9X8jdpSaPx+CMiyYT7Naw5oVDVLwcoDpwjH989I+E1w9QkD+KNiX+rtnxoPidoB2Y6DO+0MaL35jPl+YloAmk0STNqBl1wX9jqY/v87BaZnDgwIoB21taWqJ2pZ4y+Wbc7q00VK8gv/jc2CcKlzR2MoYeL6PfCb3ClZkjww7NzVpIq/Nw7DkToLOzk/p6NxMmDL1bepo08fB5393+z+P1+dHrdLzyyit8tGE9rz3+OE6nGp+XQhIXX3ox+fmRdS1icbTzKO9XvR/3+JR5ahIivvMvG74MSZb4nw3/w/S86RRYCuI+gxaFq48d5jfXX85DN1/J8zdfwSs3X8YHN1zMfy9ZROnrT1PfU5FxMmv+9RxNM85gx1/V/mImvY4ffeM2nJ3x9RyKhwkzZvDJq6/1de8ONdXQ8eIrmM++kMwf/gZNVmI5PLLfhaKL3f+ndHQu1lwdsluPYHczv2gaD9c8zNHmowm/BlEUkybkKMsyDzxyG3Pa/knbmElJmVPQiEkzahJh3LgbqKkdaNRUVlb2Cz2djEajJdt2Mc3iy2SNiZ2Yromnr1VGT6iuux6661TPjTUv7NCWrt3oYogMJsqKFc8CMG7clBgj06RJDmmjJsV4FQW3VksAGDN8OBX19XS09dwcRZg1LfFmlHevuZuXDr7ET9b8hMveuIw7V98ZdfyP1v+Nb65/nD/seZsVtZvxyYG480pOJin3MEEDQuynzEJrIb9a8CvmFs3lV/N/ldApjBMnEjh2jFBn54B9o2dOpPKiGzjyr38P2KcoCv43V3De3+4Fl4uOZvWzKsx1oBmCwOCANVx6KSNyc9n4wgsAyK2N6ItzsV71DXQjJyY+YdCNHKU/US+CIHD9nWeRPQ7uuO8ivnXrlykRSlh/cH3i5wQsioHOjsGHsHrZsv5VuoJOzhQy2G5IlvEoqAJ8ScKkK2Htf6bgrIpcFg2Qnz8FaMHn6y8UWF9fH/MBxlwzg2zn7xFj5J8c3LsLuzOOJpZZZer3rWkPNO2FrFGqzlUYjPocnL6W2HMmgE6nwWgUoxpzadIkk3ROTYrxBgOgUWPrcxct4tCxY0i9sXVZ1XCI5pIOx6pjq2h0N7KvbR/fmPINntn/TNhxx5wtXPzqEgBunH4vzZ5mtruasIlTuPt//40SCKC3WNAZjBhMJkLBEJIUoktvpNRmo8BmxWG1kGO1kpthoSBJSqAKxH2zubz8ci4vvzzhc2isVpAlRGN4obYRS89k/+qB8vQ7P90Ow0ZgtpqxXHABm/79Euf95Js0tHWj0Sen11IvxWPKObrxM9xvSQQrDiJEuNnERcATl6cG1Gqo63+wpO/vBbkLMBsH106gzFjEoYpNzJk1tEaIxxoOMLlgGg907eMn5RcPaa5eFISktgSZet0rbH5mMVpLbC+a3b6A3XteYPasr/Zta2lpYfz46GXNkitEwbjYoZqaLQexnxuHh1dngpJZcOBtaKuAUWdHHFpWeAHdR3+GL3gPRl1ykuNzcgqorGxEkqR0onCaU0LaqEkxPlnGZjCAx0NJSQkmoHr3cWn0Lz/+ZbwFXkY5RjHCNgK7wY5VZ2VK7hRGZ4bv+Juhz+DJC57s+/uVQ68MGPP04VX8ft0PAdh68w70YX5QFEWhOxCgqdtFq8tNq9NJTkYGR7qdKH4/Xo+H5tpOdnq9+Lxegl4v04Vk5FBoSIp+fRTcmzajyEpEo8ZSVEDuByvgdz/pt/3wy28y6epLAJj3pSv4+Jpb4SffZMOew+TmxR/+ige9NYjoq8e3sQnZHyTjsusGPZcQ8iBrEm9KCT0hSc3g7v5lmeUcrt05ZKOmubsOxRZiisbKsGELhzRXH7JCsq8zSfFiyj2e1xMKhaioqGD48OEYT7jWJk28jU8/+x5w3KhxOp0MHx49J0gJSOgtsT9HsV1i0ow4vbyzvwav3g4IMPPWyMNGXM/Tx55ke/UrSWuXMHr0ND77bAf19fWUlpYmZc40aaKRNmpSiCRJ+IHs3FxaOjrw+XzMnDaNDdu3oxNFgorCHy/5I+26dtbVr6Oqu4ojnUfwhrw8tucxXAFXXwJxp68Tm8GGXqPHFexvWHhCHv6+/e8UWAqYkjMFl2Lg9+t+yPcXPMTXTlIhPRFBELAbDNhzDYzJze7bviDKa9r2z1eH8pb0nphUGzVSRzumyZETi0unjKVaFNnx7mrcP/sJ9t/9kXFL5mM5uJuxD6idls1WM5vnjKf9xRXsOXqML113ZVLXKFqMWKZNJPvmn8QeHAMh6EXRxuepGXAswqAT1UeXTuPlvc8P6theZFlmR/d+bAaRuxZGFyVMDEHVqkkhb775Jjt37qS0tJTbbrut732020sRBYmurgbsdjWvRZZlTKbon1FOnR6tEjsrQJTAZIrTuzb5GtAawJQFRdOjDjWbRiRVdTwvT83fOXJkf9qoSXNKSBs1KcTvVwX1cvPzOXDoEC6Xi7lLl/Lp9u3kNlczYtkSSopLKKGEKXmRE+l6f2RcARdV3VU8d6B/Fc7tk2/nSOcRdrbs5Nfrf01e5hksLPtKVIPm80TQ6kAeXEJiwBOg5uNdVK07giXbSldDNxa7nuyRWRRML8M+dhiiRkQJBkET+eYgiiKdpaMI/ubXDHv8cQ7duZyKF8vQTp2OqD3+tbAqcOTIQa655jomlUXXDUkYRUladEQIeVH0cTZEPQmNRkMoOLgcq7HzLuDw5vsGdWwvr77xOyaZy8HUzZ8/+wU/t5VQkGjn+TAospz0jvSyKPUJZrpcLnbt2sXYsWM5ePAgtbW1/W7ceXkXsHvPEyw8YznBYOSO6ifSnO3FIkhhy/17CQT8xGH3HEcQYEJyy7TjxWw2o9UqiGJyE5DTpIlE2qhJITqdDlFRkDxqX6euri6Ki4tBr+BYOJeLLr8prnl6n/4yDBlMzp3Mfbn9byK3Tzne1HLuc/Np7viMZ5f9IUmv4uS1DH0O3bAyQt7OhI/b8egqPtsiMjm3gY5WiaP1AS7/3iyc1a20Hmlh9QN70SvbMGoC6EMuCg1jGRFlvsxjh/Df9FXKp46j8OUn2fXRBmZetrTfmBKNyHnXXkHm6OR1ou5FbYWQpLuuFAzbKyouhrAEjUaLUdH13egTxe3t5rVjb/LYN97HaLLy/SfncbTm06QYNaLRRO0Dz2FaeiX6CXOHPB+AoPSoFAsCVVVVKIrCRRddRFVVFZWVlf2MmokTb+LDj64DllNdXR1Xd2qtX6D73wdpnV/P2MvC59bUVlcRsn/eFYzxo7YxG0K+WJo0CZA2alKITqdjdH4B67aq1RK+nlJuQdRgciRHdv9kPEEXw3IWUmBKTlJvKhD0RgRRg9zdjmiLz7twbNUOjm6uA6GUkYsnMG1kPq4j1eROH0Pu9DGUAbNkVS35wLMf89GneWQ4or8HE995C3ueWpVhybQx/6ow2iCiCKH4nrITZbCGQNi5hlCoLylDe4rWavU4W+ux5SbuyXplxe+4Iu8cjCYriixj1pqYWLZsSOvpJeOW/yLr049RXOHzwGRFxhV0YdPHJwznqt2DTrEh9HhQWlpasFqt2Gw28vPzaW5u7jfeaLSh0WRSX7+L6uo2srOzw03bf025WnTdGjoOR64Aa6qrxZh7+n6/w/H5y0ik+f+FdEl3ijn3umuZVFzM3HHjmDR9OrIsI/tl8rMGr00TixFZyXkqTSVy7nQCq+MTs+s61sz6F/dy/q/VqpiAX8ZWVkTRufP6jRNFEUEQGHP9WSycLWE2Rf8hzSzIjuji76XZ6+WJxx+Pa50Jo6h1YEmZCiHu7uMn49A76PR1DvrcJfpcKo/t5NGrL2bbP8M3J43EjtYdTJ+sGjG/e/kS3gq1oo/TyIiHYGs7uvEDPR6yInPHB3dw5gtn8m7lu3HN1bjneWxZx3NSuru7sdvtANjt9j79qRMZPvxa9h94goaGBoqKimKeo/yKGbTm+9H4Io/pam4juzB1vx/JxO/3I0kCNltqHuLSpDmZtFGTYrKzs7n69tu54Prr0ev1tLe3IyBQkJPcSppevjbrf9BrUuOAk+XkCZlpZl2JvPedmOO8nW7e++0qltw2BXNBNjf/eAJlF8yIPrdWQ0Z+xqArek5kzrhx2GMYPoNF9dQkaS5AiEP7JxySLLGlYUvsgRG4bMQl3Lz3buosQT5d9Q47HvsXiizj6oqueeJsrWeVtZr9FWpp/aKR53OloRjTSTL+iteNEozRjToCSlBCzHAM2L6hYQPrG9Yz0jaSB7c9GFdyrM9diynjePWS3+/vq3hqaWnh2LFjA44ZO+YSfL5dtLe3xax8ArDlOJj2w3OQzQIt+8KLQ9IZIjMvfrXpz5OmpiYAsrJie6nSpEkGaaPmFFNdWw0Q11PbYAjKErokisSdiCzLKEm6ZAxzL0Loiq1iu+rXbzDn/BLy5quVTPaygrhCNnJIRkxC5cv0Sy+NKYQ2eJLoqVGU431+EmTe8Hkc8hwa9Lknn3cDc3xlzLzhWq67+1d8+P6bHHzvLea/voTJT07mWO3egesNBLjlqYvJ9miYM0ftNL1gzndp8rcjh/obMC0/vpmK+VNxr3gsoXUpoVDEt3dt7VqKLEXcNfsu6lx1VHZXxpxP9nsxZY46/rd8vDlsY2N4AUJR1GAyTSAYPERhYZyNOIHiyydy+OWBIn9yZzttzc1g+2JkDuzZuwGDIXW/d2nSnEzaqDnF7K/aj2gWY5Z2DpagJKETUmTUKBJKkgwmQa9HUbTI7q6IY0L+AH6PzMgrEq/iUiQ5KeW8BoeDkJSayg1liB3TT5oMcZBGTUl2CaWGoZXbms12ho+cSP7suVx51c387f0/c1nXKL4vnc2OXQPbeMx+cgZZhkw++eYO8oqOGwoXlSzhp68cF99r/fFNtH1wgKLfLMf11qvUXXMmgd0DRRPDoQS8CBFaCRzsOMjEnIlMylFbMhxsPxh1LingpSV3K47RZ/Rt02q1hHqUuWfMmBHxxj1+3FfIL6hMSHwur6wIS5gS/fr79zLbO4ECR/wGUiLIsh+vf+gK0aB2JN+9az9lZYUxw7xp0iSL9JV2imnvaMdij914cLAEFRldlFLmoSDJ8qC9AWHJHkNgw9sRdx95ZzuZuYNT8ZUlJSmeGgCDRoOntTUpc/UjmYnCQ6ikcpgd1Afq6XZ1D/r83SEXOXY1pDrs0stpyPHy7Vv/weT8aRzprOg39v5/fQm/XiAoDUzAvuSs3+AOunG//BdkdzfOTapQpSa3mPxH3ib3J7+i5Vffp/E71yC1xZD0D/gRIlyvDa4GSjJKsBvsZOgyqHfVR52qds1fyaobg9Zo79tmMpnw9FQ2ejyeiA8qGRkl2O3Jqf7R6Rowh0woSmp6WgkaM1oxOcrZW7Z8htercMYZFyZlvjRp4iFt1JxiPG4PFkvqjJqAnEpPTQg5iUaNZtxCgjtXRdy/59MmciYl0JX5BBRJSprwmiTL6MyDayMQjaSWdA/B65NhzMCBg05X56BP75W8OKxq3oTGaIS8DAptRVgLSujqPP7kf89D1/CscQez2hz8eNEvB8yz8b1fk7Wvhepf/IvaqxZjnjCC0StfQz9TlffXzzyH4v+sx3bmXOpuXEbb3dehRPCkeVe/jr4sfCl+V6ALh8EBgDPopLIrcvhJ8rmp6Xyecef3T4LOzMyko6MDWZZpb2+P2N+osXEbJuOosPsSRWPy8uncx3lj/e+SMt/JCIpEY0f03lbxotMZAIXCwnToKc2pI23UnGL8Xj/2DHvsgYMkKEvoU5RToyTZU6ObdYHaZC8CcnsLk6+K3QcnHJIkIybJYxUMhVJk1CRPG05NqRn85y5oBWq7IiSmxoEsSRjMqrHe4WrFiNrPbPyUs9kgV/Ql4volP2+d9RyP/2gtk6ad02+OUMjPw0de4ZJ3NGSfM4qQK4Sg1aMdPq6vjFpdrID5uv+i9PXVdH+2s6eKbCDdr7+E7fpvhN0XkkPoxOPekzcq3oj42qrf/B0GsjAV9DdMioqKCAaDVFZW0tLSEjH81N6+m4yMcRHnTwhF5Kpl9/PBkTcivu6hcPaknyN5DiRlLoPBCghxCw+mSZMM0kbNKUb2yWTbU1cJEFTklBk1kiQlLVEYQMwfi1aIHPIQdTrECDkRsVAkJSmemrZjxzCnKlE4mVYN8pCcPpPyJvHczvhK7MOh1+hxOjsAOFi9m0KTWnIs6nQ0ZIR4/4N/AapHxx5BzkCWQwjtGsb/5k5yH/gP/tYggj5y2EYw2RG0GqSWgaEjxe8j2NSOYcZZYY/VClqC8vGb7QUjLoh4nq7ubYyeO7B9Q0lJCRaLhf/85z8IgsDo0eF7tTldB8nJmRpx/kgoJ32estuPoAmgs+ZhMtjobtyV8JyxsBvzkcXB9RA7GYfDAUBdXV1S5kuTJh7SRs0pJBAIgAQ5KRLeA5BlCU3KSpDlwavWhkMUIeRD8bsj7x8kiiQjJqGku+3wYbLiEE0bDEkV35PliPkj8TA1fyq5psGXCVtFC21uNcdFg4hf8vfte2bsb9lS9SkAboJYLOHDNHq9haAjA9MltyHoDZSveJbse/4Z9bzZt1xH1yMD2zT41ryGcWxZxONsBhtdfjVJ3aa3MSZrTMSxXn0zGUWzB2zXarVceOGFaDQazjnnnIiKwYFAAwUFE6O+jrAIIJ3QviJ45Ci6TPXvBYXzWLnjEWpr1yc+bwRkWebl9Tcnbb6cHPV3zuv1Jm3ONGlikTZqTiG94lwOmyNl55CR0ZAiT40soyQrB6QXjRapuXrA5pqPdtAdGPwToywnx1PjKC3F5Y5gdA2Z06OkG2BT7SZkcXDJp69+8jj1waa+ROGJo2bR6Duurjtx6lK2O/fTWH2ABk03uiiS+dONY3j0hR8DoBszA9EaPVRrue4HeDYP1NgRDCaQIr+eAksB9a56nAEn3YFuCi3hq4mC3R0IGi2aCGueOHEid955JwsWhG8DqygKshyKv/nkiZhEuho7jq9l/z50PTlCZ068md80r+GBld9KfN4I63x5/XXo9NncvGRdUubsTaJOZQ5hmjQnkzZqTiHd3WqoxWZLnmLqyciKjCZFnYkVJUSyLxlBkNEUDXTbr3ipHa8+i8r3BicKJ0syonboa/X7/BiSWfF1AmpJd/LmG0rZ7JGOI3x93tcBeGTtI/zXq/8V13EPvvXfvFv1Hs/d/Do2iwMAs8HSL3SiNZm5rvAiln18DbmyVd0Y8MCTl8DDZ0B3Q9/Y79/2CBta4//MRYsNdDoC2z4isG9z33ZNwTCCTc0RjxubOZY9rXvY26bmdI3JDO+p2fjxm/h0kT0+sfB6G1GUwX3ftRkGnE2dfX8HqrvQT1c9Rnk5Y9l0zScEdcmRhnh1020omgyumv1QUuYDcPW0p7BarUmbM02aWKSNmlPIqXhykRQZMUXVT4qc5PATIGsyUNz982qC3uMa8cbc8KGKWBzc0o4lZ+jGoyAIyCQ/IRPoKelOzldQTeIevIVk09s4/63zqWmp4YWjL9Dgaoh5zGPv/YnHm1/mr9c+1mfQnLCifn9dc+NvWH/lav5407Pqhm1PwbF10FkDa//YN27HtneoEyJrF4VD6nJSceO3qbrpSzifUhu5ej9+A0N55IqjM4rPoNZVywNbHqDAUsAox8CxLz62gnt3OTlmGXz1Tk3NRsymwVU+ae1GvG2qYaAEg0gBPZqc46Frkzkbk0bP6x/EZ4BGosvbgs+1n+vmJiZuGAt3j4fTnIIk+zRpIpE2ak4hHd0dKIKCwWBI2TlkRUaTIqNGkqUUhJ+MyF39m/e17a6ikDqmFTWTP33koKbVamRGXblwyMtz5ObgCoViDxwEShJ7P8HQ8nP+cPEfOMd+DjtrduKVvcSKYN753Nf4S9MTSBoFk3ngk/hk+wS+9++bVWOrB2tGFtm5PSJ/B96C8nNgxpfgwNt9lTzVx3Zz2/BrE1r78A92MOLBXyB5BWp/+2/kzlbk7jb0Y6dEPOaMojOYnjed/e37+dbUb/UTLgx4vCz/2WPsrO/m/pvmotEO3qhtbtkxqCRhAEOmiWCHmo8S3LkFfd7AD+Xe697jtbpPUKTBX6NrDvyJzJxzkicE2UOvh6aiIjnVVGnSxEPaqDkFbNqxiedfeZ5VK1ch6sWUqmvKsoQm2YZHD4oiQ7INJq0R2dnRb1NnRQNF5Rmc8cvrB/1eKUkyFtyVlRisVvy+KB0GB0lSez8pypBKuu1mO5ePu5yHdz2MS3TRFeqK2uvrsOso941azs4v7Qy7/57rH8Rhz+V3rywPt1ho2Amlc2HYPHA2gEsNFSmyQijgH3hMFASNBtN5N1L21F8AaP7xrQRratDkRlbd1YgaHjvvMT64+gOuGK22aXjuX69y091PccvPnmPa5JH89hc3M6ZkMkrgIB7f4IQJXc4DlJbOiz0wDKYCG1KH+l74dhzBOG1gGEynNTLTMZqdu54a1DkURaGr/SPOnnD3oI6PxrBhw8jM1HHgQHJ0b9KkiYe0UZNi3G4377z+Dgf3qDLsl118WUrPJ6OgTVVJtyyhJDu/RGdCcXf22+Ss7yCjaHBhp16EJIWMfIEAe71envqfgSW9QyeZ4ntDN5DOGncWvzn7NwDYdXaau8LnpNQ0HUWHlosX3hjV6Lznij+xr/sAb254vv8Obwf4uyGrTP0H0HkMWZbZ1bmX/IzBtQDQDlO1YPzVjWCwIOqivyE6UUeBRU1ubqtt5KeVBkosGu6/YynXXb8EAJPeQGbel3l7/R8GtSZZ6cDhGJyAZHZZAXQEkerrCDQq6KeHb+R63qzvsWrf4Mrxj7ZtRaPNwqQLX7k1VCwWA74UPBCkSROJtFGTYnq71C44cwHf/e53mTZ5WkrPJysSmlR9rIqU3DYJADoz8klKtu52H7bi06Orb+miRdz1zW/iCknse/PNqGNlX4jmf+yg6S/bkJyxu0orioKQBI+St6ORERVPorcPvR/QzOEz+fjKjznoP8i6I+GrYP6y6rd8bcrXYs4liiJ/v+5xHt3xvxyoO0FTxdOu/teSA+aeHBFPG421B3nVepBxY8NXEsVCUzCcMZ+8h+zxIHd3I+jiM+7lUIi92w5yibGT3/3yJkaMHdFv/4WzrsDlPkRda1VC63G72xEF46DDOjqTHrNPpOGvR0EAQRe+AmtM8TwOSc6IysrR2F/zH7KzzxzU+mKhKAoejx9dhHWnSZMK0kZNimlpV7U7lpy1hOwU6Z2ciFr9lLou3UkPPxmsAzw1bmcI24i8IU0rhRQadtYMaQ5Qb8yW/HzmlJfj7anmiIRrfQOBehehDh/O1XGq8ybBU9O89glqrNPIGj1QS2Uw5GTkUKYro83VNmCfJIU47KzgvNlXxTWXLSOLH875Ef/74YPHN4Z6nty1RpB6jL9dLxIMeLnMWU7JiMmDXrumYDjG4bm0r65AP/XsmOMln4+yn6/kjjWt3LBobNgxoigyZdx/8dGWexNaS9WxNZjN4xM6ZsC5e/J59PmRv3eCIDAlo4zbn57Ld59MLNTV2bmOacNvGNIaI1FTU017e5Dp08MLIKZJkwrSRk2KaWpvAr0q1HUqkBV50N2aY84tp8BTY7CgePpXu/gCItaSoQkUFmQFCXoSy82IRawnbt++NkwTsjHPyMO7b6BBcDLJ6tKdOf1StCEXbfvWDHmuXuYUzMFkGFgu/MHm15hoG4eYgMpyYXEZB52HkeQeT4LY812QJejVfymZzUsf/xUxCT9JhU+vRpOdhRSI7bkQgFH+di6xuFmwZFbEcTPLZyPJGnZUxC9219K8kdy8uXGPD4c0o52WCdvJuOXqqOO+tOQP3Djm2oSMZH/Aj+v927DrBi+6GI39+7diMMCYMUlqEZEmTRykjZoU4/F5EHWn7m2WFRltCnVVlCQnOQtGK4rH2f88gGaIfZsURUFIgqLwifNF3S8rBBpc6IfZMAy3IbX7kD3Re94ocnIUhW2lE/Dlz0IOJi93QSNokMN0gn5j73+4du6XE5prbP4ECjIKeX7Dv9UNxp5Se18XBHqEDfMnUdldxTnjLh7KsvvQl5XhXhdbRE4wGCgQg/zu17fEHLtk1l1s2f943Gto79jO8GGL4h4fjra2A+hKCxH00Ssm7fYS5k37akKZZJ9u3YYi2vng2f8MaY2RqKmpJD/fltLCiDRpTiZ9taWYvMw8JK8UtZIkmciKnLJE4VR4agRjBvicsQcmiKIIiEkVIYxugMjOAIQUtDkmtNmqhyPUEctTlMSSbkXp3/RxiIiIyPS/ZiUpRH2omWlliXsfxudN5PndPRo1ljw1jNlVA71NNG1FFCl2Xj/46lCXDoBx/AQ8W2JX3SRiVA7LG4VRaCAQip0vBSBJbiyWoYWcq5q7mXBW7FDf/sPvcPXzi8gxxJ9gv3dbNTNuHEHQo+fgtrVDWeYA/H4/DQ3dDBuWnO7kadLES0K/gg8//DBTpkzBZrNhs9mYP38+7777bt/+xYsXIwhCv3933HFHxPmCwSB33303kydPxmKxUFRUxC233EJ9ff8GdSNGjBgw7/3335/gS/18KMotQpCFPnXNVCMjo0mhpybpRo0pA/zH3xtZkpNymx9q1+qB80U3aiS36pXRWHSIZjW8EtNTk0Dvp6pWN7c/tYX/bA2fq6MkUcgPVE+NpPQP36ze9R5jzaMG5V268/xfHv+10WghZww07oLG3WpZv30Y71mOsqhkaJ6NXsxz5+A/eDDu8bE8cb3YHOewds14Vq77adRxra1HyLCWxH3+sMgysqzE5emQgm7Oz5rEPde907ftvbVrefmt91nx/ie89/FnfPzpZtZt2MnWrQfYu7sST6PErPGTOffWi9j01jE8zs64ltXZ2cm99/6abds2Rhyze/d2JElg0qShhd/SpEmUhH4FS0pKuP/++9m6dStbtmxhyZIlXHbZZezdu7dvzO23305DQ0Pfv9///vcR5/N4PGzbto1f/OIXbNu2jVdffZWDBw9y6aWXDhj7m9/8pt+83/3udxNZ+udGbq4ar+6tgko1SgoThRVZSn6isMXer6FloNOJVjP0cmxFSe5S1d5KkW/mSqjHq6EVkf2qMeDd0xp74jjtg5++tpuPDjRz9392UdvhCbM+OaluftntY3f1JkIniLptOLyaBaMGn/RZrW/j/c09npiys+Dge7D7ZRh+BohaMv1aLr/srqEuHQDLvHkEG2KrIgMYFAlvHPk3AJee8X2s+b9G63uRYy2Ru09X16zGZhuc6F4vjbs/wS/Hd4GMHX0ph53V+Lyd+Lvr8Yf87Hi3FlmQ6PJ0U9fayMGao2w9vJvVuzbw9oaPKD7DhEbUYMmwM+fict57YkVc59q06ROCQYWPP34/rDFYU3OMd955lzFjisjPD9+RPU2aVJFQ9uoll1zS7+97772Xhx9+mA0bNjBxotqF1mw2U1BQENd8drudDz74oN+2v//978yZM4fq6mqGDRvWtz0jIyPueU8nsrKyQAe7Du/CbrdjMpkidvNNBpIsp6ykW61+SrKnxmxX+wD1UPPB1qR011YAcYh5OScTzUPR1zxTVhAMqjWlL47+OcfrqWlx+llX0cZ/Xz6Je9/ex7u7G7l9UX8htqGK753MyHY7h4/Vc+Wjy7hm9DXctPgOPuvawlfOHvzDxLXmc7lz36/YOeMyxNlfg61PgKsRbn6VprrDVGWGCEkhtJqhJ9VrLBaIM+Rr1ym0tXZgLo4vYXbuxJtZq9hZt/sJhi/5Wdgx7W1bKS8fWlVR1eG9jC2Mr9WHTmdAQuFXK66jzd3MHYuexFqg47qLLojr+LEz5lGxo5Jtn7zLjMXRjzlwYC86nYjTKdHV1YXD4ei3//33/4PDoeeaa76SdJXiNGliMehffUmSeOGFF3C73cyfP79v+7PPPktOTg6TJk1i+fLlff2O4qWrqwtBEAZ8Ue6//36ys7OZPn06f/jDHwilSLo+2QiCQOHwQnZv2s0//vEPHvjbA309UVKBjIQ2RYl5iiJBlLlbXX6e+KyS5u74E1YFayaEjl8jhz85wvgLJg5pnQCyIiTVqFE1ZSIjGntCTt4Q9HhttPkxet7E6ZDaUdMJwNJxeUwtcbC9pmPAGEWW0CQzp0bQcMWEm3j6hv9wpOkAV/zvOZhlPYW5w2IfHIFvnXuCam3OaPjGWrj9YyhfitFoprBbkxSDphfRbCZQPbAD/Mk4jDraG2JXq53IiILpCP7PIu4PBKooLpmT0Jwnk1tQgqiPv2HlmIzh6II+hhkyWfHaJxSNyErofMtuupJ9a9tob44shdDZ2Ul7e5B589Tf/K6u45WLBw7s5qWXnqemppsxY8al9WnSfC4k/Auye/du5s+fj8/nw2q18tprrzFhwgQAbrzxRoYPH05RURG7du3i7rvv5uDBg7z6anzJfz6fj7vvvpsbbrihXyfr733ve8yYMYOsrCzWrVvH8uXLaWho4IEHHog4l9/vx+8/nqjZ2yH78+C6i6/juRXPUZJbwrat23jjgze48fIbU3IuRVHQprKhZYS5FUXhm89sZXNVB69ur+ONb58R11OamJFJdUs2/r+tQBZ1tEt2ys4dmtteXc8J3pMkoLZpijyfxq4HQOr094WierdFnlNGFGL/8B9rc2PSaSi0GxmVZ2VHdWeYuRSEBMqsY9LjRbLbsvj1DX+ltbOR+pbYBkI0gpKaY9SX0Jx7vDN2Zt4wRCW5T/X6ESNwrl5D9pdujjrOYdHT3tqZ0NylOSWg+Gh3dpGVYe+3T5KCKCjotEPr8ebuaMJiiz/x9wdXvIi39TDz3ryayxttXPLDxPKTdAYDZ984m/cf/4hr77oZMYznb+3ad9HpFGbPnsvatZ9RX1/HsWNVtLc3sWPHvr5x8+efk9C506RJFgkbNWPHjmXHjh10dXXxyiuv8OUvf5nVq1czYcIEvv71r/eNmzx5MoWFhSxdupSKigpGjYqeBR8MBrn22mtRFIWHH364374f/ehHff9/ypQp6PV6vvGNb3DfffdFbA5533338etf/zrRl5cSHA4H37rlWwC0drdytOJoys4lK8l9Yj8RRQ5FvLEfanKxuaqDL88fzpPrj7GrtouppY6Yc4r2bPYYLmdChgVRCnDG+blJ8bAoipDUaqBY1U+CToMm20iw3oVo0SEYNGhs0W9q8YafWl0BcjMMCIJArtVAm3tgVZWaU5PMxGi53/uX4yggxzG08G+mVfUchHvNsixjUpJrjBsnT8a7fTt86WYkSaauooZhYwa2LMi0meloT/yhx+i4gfX7XuKiubf3215buxm9fnCtEU6kvraamecm1tyzy9vK+OYFmBxadIPQxioeNZaC8v18uuI/LLq8/7n9fj87dhxg7twZfQ+dK1e+P2COxYtnYbfbB2xPk+ZUkPCvvl6vp7y8nJkzZ3LfffcxdepUHnzwwbBj585VM9+PHDkSdc5eg+bYsWN88MEH/bw0keYNhUJUVVVFHLN8+XK6urr6/tXUDF1dNhlMGT2FkDNEIBBfWWiiKIqSFAGzSHNH8tRsrGxDpxH48fnjMOk0bKpsj29SnRmrJcjkW5cy8asXMPKqJUlaK0nJzTmRWAaIcZQD7942PLtaMIxyxOEpiq/3ky8oYeqR/F+5t5Gm7jCl4rKckCBeLBKpzIqX51Y/AsC7G18esO/dFQ9QYY9eAr+1aSuHOg7FfT7znNkEjh7lrWfe4fw7n+HsR3fS3THQeAlpdATc3rjn7aW85Cy6urYN2F5X/ylZWTMTnu9k2l1+skdG7jQejvziuSxom85Xv3fhoM+76PJLqTsQpK5yT7/t+/fvRpIEZs9WPUBTp6ph4txcB9deey16vcJXv/pVFi9OjtZQmjSDYch3P1mW+4V5TmTHjh0AFBZG7knTa9AcPnyYVatWxdVKYMeOHYiiSF5eZCl9g8HQV3re++90IDtTfX2pCofJyFE9NaGQG683Tgn/k+dWpIhlw0eaXYzMsWAxaCnPs3KkOb4SdkXUI5B4z5qY80JET42iKHiCieV6xcqpAbCeUYTkChBq9pBxZnEcc8avk6L0JODkZoT3/iS7PYYqDJhc4/icKWqhwU/2/obgCZ24Q34fP+l6kr8X/TDisZ/UfMKt793K9W9dz9HO+Dyd5unTCbW28vb2Gp68+2L+PEXHw4++22+MJMm8faCViy5NvN/UxNLRhAKNA7Z3d+9kWGlyWgMkWtFW+fa7zC3Wk2tPLJ+m3zk1Iud95WxWP7+93/b16z+kqMhKZqYaErviimv4/ve/z7e+9X0mTJjAT37yK0pLSwd93jRpkkFC35jly5ezZs0aqqqq2L17N8uXL+eTTz7hpptuoqKigv/+7/9m69atVFVVsWLFCm655RYWLVrElCnHnzbGjRvHa6+9BqgGzdVXX82WLVt49tlnkSSJxsZGGhsb+zwZ69ev5y9/+Qs7d+7k6NGjPPvss/zwhz/k5ptv7vtyfZHoNdqamlNX4h2pTYIkedi0+RLWrV9Mc8vKxCeWIxs1Td0+CuxqUmOB3UiTM75kYUWWk9ZRu9+8CgjagWtVFIUffvJDFjy/gPcq34t/PojpVdHlW8j/wQzyvjcDw8g43O9xaqNYDVrcPWXiU0scFDsGJo/afHUEnS1xzRcfSewg3kNpvlqxlRe00dF9vNw95FET5+eddX3EY5/Z9wxTcqeQacjkxYMvxnU+0WjEIyl0igaKCrO4+IZz2VbvpL3teHLrm6+vZUEmZOQn3ipAEAQ02iwON/TPNZKkNnJyRic834nIoeCgPGWiTkdjPXhqjw3p/Fn5Rf3+rq+vp6nJy9y5/T2pmZmZfetMKwenOR1I6Cpsbm7mlltuYezYsSxdupTNmzezcuVKli1bhl6vZ9WqVZx77rmMGzeOO++8k6uuuoo3T+psfPDgwb6M+bq6OlasWEFtbS3Tpk2jsLCw79+6Holzg8HACy+8wFlnncXEiRO59957+eEPf8gjjzySpLfg1JKRkYFgEDhQdSA1Jwgjbd9LY+Mb+Hy1ZGRMoqryocSnVhSUCN4At18iw6DG8D893MonB+O7wSqSkvR2UgAK4auftjVv48PqDynNKOXPW/8ct+gacYZjdLlm9IWWONcY35x5NgPNTh+SrNDY7QvrrRGzyuioOxx1Hu/eVpr/tRNfRWfstclKkhWZVa41ncskw2iOtpywVqOB4i4NekP4arGgFGRb8zYuHHkhi0oXsalxU9zneztnMtdMVPuIiRoNX59TzF8eUb01sizzzGdHuf3rl0SbIiqFeQvZeui4LIXH044gGIYcunPXH8BiMiZ83PDzlmF3yATam4d0flDVG1obVOPoueeeBGD8+ElDnjdNmlSSUCbZY489FnFfaWkpq1evjjnHiTeRESNGxLypzJgxgw0bNsS/yNMcQRCwZlmpa4ws3DWk+VFv6OFoa1+L3TaD4uIb2bvvhwQCrej18TeOlOVQRJ0a9Qat/n9vMP5wkixLiEIqPDXh2ySsqV1DjimHn879KV//4Osc6TzC6MzYT9XqdZrkm3ycKsBlOVaCkkJlq5tDTU5G5w3Uv9HXbUCeHbknk+wP0f7SIZSQTMdLhyj48eyovbGSrVDcyy+u/RN/fePXHG7Yy7zxiwG46qlzqLeFCAX8aMP0OKp2VhOUg4zNHItW0PL64dcJySG0Yhw/XwsW0X7s+HdtyfXn88Jdj/G/D7+OzWJkdo4WW97gWxmMLZnOoU3P9/197NgazKahdeYG6KrZjy0z8XUJgkAgqMFUUBR7cAzmXDyeNa+swZ6nJz/fhiy3o9dHr+hLk+bzJu0vPMW0tbXhbHCmsBeUTKSbr8t1kAzbZGy2yX1/J4JaERPeU2PUavD1GDMXTS7kjPL4fpAVSU44yiF1dRE8qZXGwLWGF9872H6QSTmTmJyjvgcH2lPkMYuDWCrFvUwb5kCnEXhpSw176rqYM3Jg2LUjawqWzMghFN+hDhS/RNa1Y5G6/ARqoud0qZ91aoTTyvPGcbStou/vuaFhKIJAe3P4kvEmjxqqLbAUUGApIKSEaPfFl4g+b9E0vCfY2IIg8Ndf34RJVHhjdyPfuH1oSa35WaPRK8dz1JqaN5I3xM7cAI3VRykoGTmoY7WKH0kTn7cwGqGgF59T5PA6E67ODjIzE/ccpUlzqkkbNaeYTdtV17nVaE3ZOYQwH6uiKPj99ZiMxRiNahKrzx+fjHzfHLIc0a2eZdHT4lLzoFpdfrIt8Wl0KLKSkKcm1N5OxUUXc2TZubg3Rg5DKAhhPRH17npKrCVY9VYyDZk0uBN4D5KcYxJvhZHVoOWSKUU8suYoVoOW8ycNTLzPwE3n5oFVRb0EalxoHAZMk3MQdCKB6uhNRFORKNzL2NIp1DqPVyP+8tsvMbkzA2d3+LYSroCadJ6hzyAgq9dYnSs+T2e4t9dkMXHzN67guT/ciiN3aHl5Wq0FrXg86dnj2ceIEUNPEq5rbqdo7IxBHavTKQQ9iVdznUx7Ywsd1YVMWSbQ3SoipMCjmiZNskkbNacQRVFo6VJzTW64YmgS6pGRkcMk3spyAFkOoNXaEUXVhexyJeilUCL3fhqebaayxYWiKFS0uBmeHUNNt3dKWUYQ4/+x7HzxRWSPB0NZGW3/+lfkeRXCitF1+btwGBwAeENejnXHl1CpelXiXmacxB/S+vVlE7nrvLE8+7V52E0DBfv07gb8zsjei1CbF22uCUEU0GabCLXHSOROQUl3LyMLx9AROp6sKysyux1OCoeFD9vIPXliGkFDk1v12vR6b+Ih1bdiQdDR7VWr6RTFj9k8+MojgIC7k90demz5g1Nv1ukVgu74Vb0jkVtcgsHWxuxzz8HqsENoaB3H06Q5FaSNmlPIo889ytHdRzHajVgsQ3cPh0WBcB+roqhqrqJ4/IbY2PhGYlPLcsQ2CVNLHXT7Qryzu5FWl5+pJY645pQlKSEHiOuzz7AuXIjj2mtxb96MHEHvJ1KicFAOoteoRp1P8rGiIr4mfiggJt1TE39Jd4ZRx7fPLmdySfiqqkzPUbLP/lbE42V3EI1Vfd1ihg7ZHauDuJxk8cLjnKync/TwZgq6NZitjrDjDRrV6+eTfH35TxOz4mulIaSktq4/QdmAoHhobT2MRhyaQQPQuOczhpnDX9duf4iVexvxBCK3idFoNUiBoRs15VPm8LXfX4NOb0JBg0Ef34NKmjSfJ2mj5hTSWKdqWhQUpq4xpxJBp6bXOyPLx38sS0puSWxuWUIgvKdm7shscqwGfvjSDhxmHWeUx5eArEhK3EaNoij4Dx7COHEixokTIRgkUFkZdqwcIVFYJ+oIysdv6GeVxBsqSMWtUUnarJW550QtqVWCMoJe3e8/3Il3d/QO4mqDzNT9PEgnVOl9sOE5FhsmRxybaVRDRB2+Djp8at8ruzFOxdpT0E9RxIvF6OBY9SfY7NOGPF974zFmTg1vtH3z2W184+mtfPe57WH3A3j9GkyW5PXQAghJoXQvpzRfCNJGzSlEERRGTRrFzVdH70UzpHMoCpowv+SiqEcUTQSDHUiS+hRnMpYkNjeRPTV6rcifrp3KlGI7f7x6KiZ9fEJwsiwTbz6q7PYgO53oiovRFat5QcGG8DkxoZYWCJMDYNPb6PKroY9sYzYTcxJonplkT82Ro1U8vzo5icqC5EeMUBKtDiAhu0yR5ZTqjogIfZWP5XnjKDBGTnIutqqfdbWzmmPdx7Dpbdj08Ypppj4PJKhk0uVupKN9K0WFZwx5vo62VjILBrZZONzkZM2hFs6fWMCHB5qpbA3fGNfjFjBFESYdDJIUQqtPrqGUJk0qSBs1pxCT1URLewvaQfRkiRcFBU2EBE+TqQSvtwavV60y6U0YjhtZilj9BHDWmFxe+eYCzpmQH/96JSnuBETZqVbsaOw2NDa1rDkQoQWHJicHMUz5ab4ln3pXPd6QlzZfGwXm+LxmqWgbsGDuHCZkJqfbvLazEkEX2agRDRpkn3ouQ5kd09ToYnOp9tSIooagXzWujX4Fjz7yNZBjyiHPlMf2pu1sb97OxOz4DVEBUFKUG9SLyVhIZVMlgcAxSkpmD3k+t9eLJXtgMvi6ijb0GpH7rpyMRhRYXxG+s7gUAp01uQrqISmULudO84UgbdScQqaOn0pXY1cKy7l75fLDf6xW63i6unfQ3b0TELBaxyU0t6LIEXVqBot684xzbEi9KQs6HfTkZbg+iayNFO6mPCZzDHvb9rK/bb/6d9aYAWMik9yboyUrH3tGcvIURDmAwRq5kkeToUfqUkOPUpcfjS1GB3FZjqhMnQwcWjs1LWq7A9lsxNkVWaxREASWDFvCK4dfYX3DepYOWxr3eQQh9b4aBQ2y5EEBtNqh3/h9/iAmx8AHg0NNTspyLWRa9IzINnOoKXwFm0YjE/INPafmRCRZQq9Ph5/SnP6kjZpTyOjhoxFkgebmoat9RkKBsOEngJzss3E6d1N17B847LPQ6RJ7mlNLupPbSVmR4g8/CT1PikogAD0Gju3SxNRgzyg6gwZ3A3/c8keyjFmMy4zPsFO195Jr1ISCAbRJ6EgOoFjyo4aLtLlmgk0eZF+IULsPXW50YyrVnppCYx6VzaqXzWjJ4G1lV9Tx35j6DUbaRrKweCFXjL4iZesaDHKwEr3sR68fkZz5ZAW3Z2BvsqZuH0U9LTKKHCaausMbLkHFhK+tIylrOb6mEHpD2lOT5vQnbdScQkpKSkAP73/6fsrOoSgymghWQl7e+djtM/D7Wygr+9EgJpeSfqOT5fjF9zQ9TUmljg6kzk4AdFGapYZjXuE8pudNZ3frbu6YekdiTSCTHMWQQkE0SeqsHUSLsypy8qihzI7iC9H9/jFQQD8yukGbyuonUHM0ND1h2Mc3PMTvRkW/HnNMOTx/8fM8tPShvuq1eDgV1U8hWaKrbTPZWbOSMp/NoF4bJ+P0hcgwqu/Zrtou3t0zsJkmQEu3g5CU3FctyRIGQ9pTk+b0J535dQrR6XTMmTuHjZ9upPOcThwOR+TBUgi2Pg6542DkmXGfQ0FBE6FCSRT1zJzxIrIcRKOJTxyv39yKnHRBtkR6P4kmE5qsLAI1tWgLVGNGV5SYHLxG1PDouY/S5G6i1JZIR+Hk3xpDoRDaJKn26hd+h4wnz0b6WQsa3cCbvn64DW2+Gde6egxl9tieGllJaaJwCAmDVlWoDQoyC5fdmpLzRGsbkixE0YLTvYVxYyO3qUiE7qCAzTEwlCjJCpqeJ4Aub+SS/DxrE/bSxIz9aMiyjIKMwZj4b0aaNKeatKfmFLN04VJEvcgz/3kmet+rz/4M7/wXPH0FnCApHwvVUxN5vyCIgzJogJiJwoNBDWnFbzAYx43Du2sn3l07EUwm9MMHVonEQq/RJ2jQqOGYZOvU+J3taPQDO24PhqL5V3PMPhd/V/ind0EUyPnKJOwXlZF1Y+yQm2rAps4YEEUNclC9MQspNDpS76cBnb4YneYoubnlSZkvJBG2uadBJ+IPqfl4507IZ/HYyMnekbxsvoOHIlYMRlxPT6hXn/bUpPkCkDZqTjEGg4ELll1Aa00r3d0R+u8oCmx9EqbeCAYr7Hg27vkVQIzgqRkqKUkUTrAbtHXxYtzrN9Dx3PNYFy5ESGEl2QCS7Ll4bn0tVRWHkjafzXmEaDEyrcNAxpnFfSJ80VAUZYBIXjIRRBGp52aZPLWez4cMoyGsfMBgUGSZRq8GNAOv6yyLgTa32pKh3R0g0zzwc/S1tWIwhC9EcK1ZQ+Vll3H00ssINoY3fsMR7DE+0zo1ab4IpI2az4GRw9VGdR0dEZL5umrUfxMuhbLFcGx93HNHy6kZMkryE4XlBD01jquuxFBWhux2k/Odbyd1LVGJ0U1+MIzL8HDh1V9KylyKLKNRghgzkxR2kFObKCyIAjVtVfzrpbvZlJXcpNZ+5xlE9VN7MESDP7yibzgkXzXe0OBaGpzMtn/fiRShOrI008SxNg+KolDV5qY0a6A3p6uiAkd2eOOj7dHHME6aBEDHiy/Gvaa0UZPmi0TaqPkc6NWpkSQp/IDWnqf3vAnqv9b4u2mrOTWpMWoUOfmJwolUPwGIFgsjX3uVMZ+uxTh2bFLXEg21+Cl576uiKLR5FUz5ZUmZL+jtpjNjLGKYJ/zBoCiJi+8pioLPFb39Qi9mjZnfNf6Ljzq3co1nwmCWGCeJfWaN/iALN+5nzvr9bO0KL253MrWuS2kI/XQwixuA15DLNecvCrtvcrGdhi4f6yvaaHUFmFI8UFW581gjjsKB22WfD8+2bdivvALrmWfiXrcu7jX1hp/SRk2aLwJpo+ZzwOVSuw6bzRGSNZ09ruGMQvWfpw2k+G4WQESdmiGjyIjJLumW408U7kUQxb7y7lNKko0am05Gbx16ryAAf1cLij55nd8VJfFE4Y+fOcBj/7WWbStjNwkVe5wRczJnUR+K3IgzGSTiqXmirpWQojDcpOev1fE1zTRqjTiDyenlFgoG0ZnDt4BYODoHs17Dt57bRoZBy/xRAxtMdjZ2YR8+0FsXqKqCUAjj+PEYJ04gcPhI9Jy+E+j11KRSNDRNmmSRNmpOAStXr+See+/h4BHV43Ks7hiKoJCbGyHRz+8CjQG0ejUMBeCOLE52ImpOTYqQJUhyonAiJd2fK0mOPgmCkNQwoajRYXDG13E8HhLVqelodLP/swayiixsfqeKoD+CF7KH3v5bik6H1hugum7/kNYbCSHBjJ2P27s5N9vOdQVZrO1wIcVx43f7glhNyakMkkJBNMbwBlKGUcc9l07Eotfy68smYjEMNDK6WkM4ygcmLPcmB+uKitEVFSF71JYj8ZD21KT5IpE2alKMx+Nh3Zp1EIQXXnkBr9fL/sr96DP0UZ58lOMJuZ4eKfSQP67zqZ2fh77uSJMnuyImkZLuzxNFUZJapZPs99GSP4KQNnmd3xPt/VS9tx2NVmTZbRMI+SXqD3dGHW82qV6lj+o/oUMvUZSbnDDcyQgn/G8sZEXhoNvHlAwTUzPMeCSZY97YuTWtrgD59uhVbIok49nVQqgjutKvJOrRhCKHva6dVcpnP1nClTPC920LBAX0joHeP7nHO6yxZaD0eF7iTRZOe2rSfJH4AtxOvtis3rAaFPj617+OHJJ55j/PUFdZx5gxUeT5dSYI+VTPSG8vmYz4E0DFVJXIKskv6YbkG0qpQTklHZ8HS92apylx707afIl6alprnWQXW8gutqI3aWmtje4FmFQyHYtfR4Epn25vEK3+89dAaQuG8MkKpUY9pUY1vFkfR8JwhydInj267k/XyiranztAy8M7kQORvVj2zBw6644mtvAelCjtV5SQek5Bq1VDUUCoKT5l83SicJovEmmjJsXsPbSXzKJMioqKuPCCC6k7UgcBWDQ7fDIgAJZcQFG9NK5m0FtBZ4zrfAqgSZVNk4LqJxQ5ha6l5HI6G1+Bmu0cG3t78iZUFMQEDFhnux9brglBEMjINuJsj+5ZPH/GlXxy62f8/cYnuWpfgo1VEyCR5uTdPTd+u1ZLhlZ97Yc9sT2k7oBEVpQeXkpIxr2hEdO0XKTuAN49rRHH5hYPp6U5MR2ZXrxNjZhN4Q0boadvk+wPYJw0GQDDqPi8Y2mjJs0XibQ/McV4nB7GjFW9MnNnziXDkoGCQn5+lE7WmWrJN62H1H9ZI+M+n5pTk7qS7qSrzKpNlZI7ZwpQ4LQ2vmQphHVs/I0eY5FoorDfEyQzX72xB30h2mJ4agCMPcKDBiWFejgJfGTBnvwZvSj05dKsaXfyleKcqMd5Yhg1gToXSkAiY2ExoSYP/qNdWGaE//5nlozhwJY18S/6BDorjuLIDZ9Ar+lRL5c62o93u8+M3AD1RAKBdPgpzReH9FWaQhRFQfJK5GYeTwieMC6O8tWcMWCwQeVaOPYZjDwrkbMmVCKdEClIFO4plk7ynCkgBTo1yUQJBdDo4/PmxTVfgr2fpJCCqFU/x+5WH92tye0SPVgSyYPS9yR3+eXjMgMX5YavRDoRd0AiEPAD4fNqQk0eEEBXYEFXaFH/joCtYCRd3lDcaz6Rzuom7EXhq+n0JWoOTqC6msCxajTZ2Yim+NSs/T41BJesPmVp0qSSdPgphfh8PgRZID8zilcmHBqtKry39o/QfhQmXRX3oYpC0uX8j0+eivBTKjObk0eydWqAhEQHY2Kw4jq2M2nTJeqpETUCckh9PdZMA7nDMpK2liGhKHH3fnLo1Gu7IyjR1ROKKoqjM/W5Ewu449HVEfdL3X5Eqw5BK6KxG5C6I+fpaLTaQRfadTU5cYwIH8rTlZQgZmTg3bED744dGCfErw0U8AfQCNrTOvyaJk0vaaMmhXi9XiCKHk00lt4DY86HxT9NqKFlSlGkFIWfvgCkwPhSlOTNp7NmociDe8IPS4INLY0WLX6PGqYwWnXkDT89jJpEFIUztRosGpEqr5+qnqqnEmPsPJIfXLEQq15g19HwuTCyT0Ls6a4davMidcXK0xGiJv1Goqtdxl4Wvv+UoNFgXbyYjueex71xIxlLzo573oAvmFB+VZo0nydpoyaF+P3qj5fBMIjKDmsuXP8sLL47yasaAgkmj8Y56RfCU6Ny+q5Td+B1TKXTkjZfor2frJlGutt8KIqCs82HNSt5obBThSAITLSa2O70sK3bjV2rocQYn8jjgvJc1uyJoBOkHK+cC9a5Ys5l+H/t3Xl0VOXdB/DvXWZPJiEhC2kCsjUGJC7YCsVXK1uURURO+9KKWkE4tfqHtRsUhWOPFA/HtoK+Rd5zaJXicmptPb4tBQG1IsWYQsOS0IgLEiELJDCTmcxyl9/7x2SGiYRkJt6byUx+n3OGycw8c+e58wxzf/M8v/s8soCQ35NotWNUTYCcdfkJGAseehCCzQrHtdcg5847E95uOByGJHKmAksPHNSYKJpYFz17IO2RZvzwk7nTBRom0lEzeIMaTXIi/6rEf333JbJMQuJtPbw0C+c+96G9yY9Qp4rhpcbNbvxlJTr8BACz8t3Y2+bFS2faMTPfnfBQ7pSvjsC/Put5DSvBIoK6huack4sgunrv/bHKAsKdiU2MF0Wq1udeWkeNwvi33sIV27dDTOKHVjiscD4NSxuD/2iSxtxuNwDgvMe8BfsGlJ5c8mhCKPlu9tQwvkfJyJwagVRICZ72nxAiiFLibT1yQj40Rcee39dDtogoGZ+bzIslXb1EJbug5T0l+Si1WxEmHQ+PSjwXLj/LgbDW82dZdFmg+8IgIug+BaKr914PRSNYbEkOWYsCNA0ItBm/5IQSViAbtKYYY2bjoMZENpsNkIGmc/2bd2LQIR2CGdP/DuIekJh0OEnL4LWpkglg80pcGP+1Ipxr9OG6W0fBak/mIGjeG5vsLNA5Fhn/+PqVqP3GRIx3JR4keoIqnJfZZXmYHRTWoXeEobYFIOf1ftZRYWExPnnv1WSqDUEU4R5uh9r8cVLPS4SiKJA4qGFpgoMas4mAamQCZwoJpBk/tk46KE0+hoN5+Mlo/VnQctZ9E3DPL7+Br81NfF4lAEmuzpSkfiSiS4IAa5L73t4RQM5lAjlLWSRpOvSxB6FTHbB8pfehuRvufACHj3+U1OsDgN+rwjUyufc+EYqiQJZ54j2WHjj8NhERgRRCjqvvuS7SAhEEoyfBiUuiHMwobZZzMEg/ksIFUUB2PxKEjVxT65JtC8nl1PTXZ60XLrtUgpxjg6UsG+df/wgU0uCc1PtkfoGznyHL2Y+hRE2BmHXpyt1fViSo4UMFSw/p8RM5TamqCoEEuF3uVFfFGKYlCht9qnSanCZuKOPfQ8NP30+BZJZJ+DI++OQsplX0vMgkAAxbMBbyMDvcM0fCUtz7wqPe5k/gzurHNBCAKUO5qqrCwj01LE2k/7fWIOb3R1bbzXIO3JkgXm+NadsWkjwjJiFmzP+iEwSDD2VkQj0bfRaowcuvyJwcgw/dSSYKf8kXG6DXMc9n50OYcuXIyz5uLc1G0cPXwT1zVJ/bKiifgtNnLyT1+mGvFxaLOUn3qqrCYuGeGpYeOKgxUXt75EyEvLyepy43g8uV+EyhyTJlQUvoMLqXQTchqAFgeFAzbhjh8O6XDd2mUSKJwgN1Gq/Zw08DQ5aNeb8kxQfZktj8OFH+UyfhcpvTm6JqKixW7qlh6YGDGhM1tTaBBEJu12JyA0GWzesVEkmDZMqQhMFBjWZOUGN07odFBFpPnzRoa8bnOmXC8BNgflATVlRIBr793uZP4XYlti5TlL+pCVl5/Ryy6oOqKbBakwuyGEsV7lM0gK7r2LJ9C3x+H66vvB63TItMgnb80+OwZlszZuIq0vUB/PXef6Sohi/qacZi4m63G2MrrjZoa8YPtw3c8JN5zE4R/veJz7HutfcxJoGFLxOlkAgZWlLP8Z/zwJlvTu6eqqmwJbAGFmODQfp/aw0C7e3taPmkBf4WP97Z+w6Cwch08ac/O43RY4w/xTJVBNIhGj78ZDxd0004mhkbNHz2wd/g8XoRChm1mrUZPTWDv60TYuJZa5v3HkdAJTw89zrDtpk/bjLOnfcm9Rz/hQBcBcMMq0M8TVNhTXC5CMZSjYMaA7S1tQEA7rvvPgi6gCeffBJv7HgDFCRcP/H6Aa2LmWf+RBKFB/9HRg8rhvfUADB03994cx9yslwYMa7SsG0aicDDT4k4fb4Tf3xkHsaVGHcqtWx3gUQZobOfJPwc3wUFWSMSnwE5GRqpsNv7sX4dYymQGd9aKdbY0ggSCWVlZbh90e0oGV2Cf9f8GwBwxagrUls5I5FmwvCT8dGHrunm/Dg3cKP5NhU337cGzhFfNWyb7FJmntJNRDjhFeByJpf/kohJ116PI2++lHB5v1+Eq2SE4fXQdR1EOuwODmpYeuCgxgCft3wOa5YVoijiuknX4f6770fl1yvx9Zu/nlEJdgKROYnCBvcu6YoKo1dzMLIHTNf1NFrzil2OIAgYk2VOO1bctBD1je0gLbHZyHUdkKzGBx7RxXhtPPzE0kRSX/2bN29GZWUl3G433G43pk6dir///e+xx7/5zW9CEIRul+9///u9bpOIsGbNGowYMQIOhwMzZ87EiRMnupVpb2/HXXfdBbfbjdzcXCxbtgw+ny+Zqpuqw9cBe9w6MaIo4s45d2LOLXNSWCvjCZQeicKRnhrju2qM2qb/QjtcfIyIMXOZBDN7avzBMMzKpZZlGQQB/3zlV+a8QILC4TAAZNSPM5bZkvovWVpaiieffBIHDx7Ev/71L0yfPh0LFixAXV1drMzy5cvR1NQUu2zYsKHXbW7YsAGbNm3Cc889h+rqarhcLlRVVSEYvJhAedddd6Gurg67d+/GX//6V7z77rtYsWJFkrtqnmAoGFm8MtORlhaJwqRoSKRDqa2tDa2trWhra4PH44HP50MwGISiKJf0zETOfjImqHHYLQhqg/99zARC3L9Ge7/+JEbnGz/0FHXz1OtBUt/fK1pIgSSa02MU7anhoIali6RO6Z4/f3632+vWrcPmzZvx/vvvY+LEiQAAp9OJ4uLihLZHRHj66afx6KOPYsGCBQCAbdu2oaioCK+//joWL16M48ePY+fOnaipqcH110eSbp955hnMmTMHTz31FEpKSpLZBVMEPAGM/MrlZxMdKJqumbOKdheBdBNOTzchp0bV+ow/WlpasHnz5l7LiIgsbigJAlRFwfEdOyDv3g1Jki65yLIMSZJgsVggyzJkWYbFYondtlqtF29LEs4HgfraGkj2bMgWS7dtfPFakiRYrdaMSdzNFHuPNeIb481JzgWAs82nUVjS99mT/qYzMGvS8mhQY7Hw5HssPfR7nhpN0/Dqq6/C7/dj6tSpsftffPFFbN++HcXFxZg/fz4ee+wxOJ09Twr16aeform5GTNnzozdl5OTgxtuuAEHDhzA4sWLceDAAeTm5sYCGgCYOXMmRFFEdXU1Fi5c2OO2Q6EQQqFQ7LbXm9wpkskgIljl1P+SUUmFIJg39ZBpp3QbfTaypiU8VFRVVYXi4mJomgY1HIYSCEINBqAEg1ADAajhMFRFQTAYRDg7G4qmQVXVbhdN0xAMBqFpWuyi6/olFyKK6wFy4Y+v/y2p/bJKBLsswm6RYLfJsNtscDoccLhcUMIjcbq6GtnZ2XA4HHA6nXA6nXA4HIN+MUJzF7Q0ZW5pnPP48HJ9J+r/+79M2HpE67nz+OqU2/os529qhivHnO+f6PATBzUsXST9bXf06FFMnToVwWAQWVlZ+Mtf/oIJEyJT83/3u9/FqFGjUFJSgiNHjuBnP/sZGhoa8Oc//7nHbTU3NwMAioq6/9opKiqKPdbc3IzCwsLulZZl5OXlxcr0ZP369Xj88ceT3b1+EWURtf+uRd2HdbFf2LFf6rIl9rcoiCAi6BQ5wHU70ImAKIiRixi5FgQhdi0IAgQIEEQBBIocUDUVoWAosh2BoEHDV9tzsPm1v0R6GEQJoihAlrquRRGSKEKWpMh17CJBEiOvoagaFE2NHLxjl8hBOXyhCG3/9yoIBIrWvevsiIt/Rw4hkZgisk2dCIqidj1GXWM5kf3ubPPCF3Lh0P/+AUBX/kPXNiLvTeQ2UVfuRdfTY8GBEHtWjBYMQ5Hbcfqpp7rdH1+qo+vLuqCgAKNHD+xcQtHAJxoQXe469neoE+FOL4L+DgQ7OxDs7EQwGEAgGMS5c53oPNMCnzYO4bj8tniiKMJiscBms8Fut8PhcMDlcsHlciE3Nxe5ubnIysqKfEZFEZIkQRMleDyeS3qkRFE0PF8pHXNq7v6fPXjg2hw4TJyUztMZQk5peZ/l/K3n4MrrfZHM/uLhJ5Zukg5qysvLUVtbC4/Hgz/96U+499578Y9//AMTJkzolucyadIkjBgxAjNmzMDHH3+MsWPHGlrxvqxatQqPPPJI7LbX60VZWZkpr3V71e04/tFxhJQQwkoYiqpAURQEA0H4VX/kl7umxxakjh4UBEGI3EZkgRrqOtATRQ/eFLs/9s3cFRcIUiTAkayRA030/jFUhPNnTn8h6IgLOHS9K0jQAZ0iZ+EQxQIJiCIgiJFrUYQgipHkYEGAVS9Fx4cfQkD8PiAu6Lp4f+xA1bUOpEWKOxh2lYUgQLdZIMq2SA6VEJcB8YX3SRAj75MQu1+4WPALRy2LRYZLViHLFw9q8YdhAYDDbsdXHI6Eh0qNFD+kZCRd1xEMBtHZ2YlAIIDOzk74fD54PB50dHTA7/fD7/ejo6MD586dg6IoPeYPAQByCvGb3/ymx9fpevcBIkjSxeCbdA0CAKvNFgnMRREAQdcjAbymaVC7PofxbamUjcMzTzwBWZJgiR92E0WIsYBKhihLkKKPyTIkWY4M3VkskKzWS/+WJJxpbYKAABobG2G1WrtdZFnuV4B24vRZeEKERxbdlPRze6PF9QJqmgZFB857vJf0/EW/I6LDkY1nWuAuzsPnn38eexxA0tc93dfQ0ACAe2pY+kg6qLFarRg3bhwAYPLkyaipqcHGjRuxZcuWS8recMMNAICPPvqox6AmekBpaWnBiBEX51hoaWnBNddcEyvT2tra7XmqqqK9vb3XA5LNZhuw5N2rJ12NqycZNd09Y/0jimJs2ClRRIRAIACfz9etdyj6Cz1+OE1RFKiqCtI1qIoKVVGgqEpk2E5REOzshKYqEEQJqqZB1zRAEGLBidVqhc1uhyhJIF2HHj1YdwYg6jqUcBhKOLJNXdOgKEokGIoe0IkifxNF/iaCDly8BkA9BCkSgK1bt1667xAAUYYgyRBlC2SLFVabHQ6HHU6nA067HU6HHS6HDVlOB5z2yHfKmpf34+Epo3H69OcAugKzriFKn88XCx7jg8v43rf4ICXaY6vrPSX6ZmHTpk2JNWTLKeBwbWJlkySLFtjt9r4LMjYIfOnBdl3Xu+WuxKutrQWAbgFLvNGjR6O4uBh79+6NBTFerxfV1dV44IEHAABTp07FhQsXcPDgQUyePBkA8NZbb0HX9VjQxBjrH0EQkg6EBrNogBAfQKiqinA4fMmlMxBCRyAIf2cQnYEg/IFgLMA739YGTQ2DNBWkqRDo4lpM5QDqq0+ivrrnOsT3xFmtVjgcDjgcjliieHwCefxQdXR40NLVyxTt7YpeJEmK9IqJYiwYip8+Q9f1WP5Ut97gHq6TKRPt1WIsHST1SV21ahVuu+02jBw5Eh0dHXjppZfwzjvvYNeuXfj444/x0ksvYc6cOcjPz8eRI0fwwx/+EDfddBMqKy9OBX/llVdi/fr1WLhwIQRBwMMPP4wnnngC48ePx+jRo/HYY4+hpKQEd9xxBwCgoqICt956K5YvX47nnnsOiqLgoYcewuLFiwfFmU+MscEjGgAYfRDWunqOQqFQpLfqC8M0sizDbrfDas2cBWwZS0dJ/c9vbW3FPffcg6amJuTk5KCyshK7du3CrFmz0NjYiD179uDpp5+G3+9HWVkZFi1ahEcffbTbNhoaGuDxeGK3f/rTn8Lv92PFihW4cOECbrzxRuzcubNbd+eLL76Ihx56CDNmzIAoili0aFHi3bKMMfYlRXtfeBiGscFNIDNXQBxEvF4vcnJy4PF44Ha7U10dxhhjjCUgmeM3z+bFGGOMsYzAQQ1jjDHGMgIHNYwxxhjLCBzUMMYYYywjcFDDGGOMsYzAQQ1jjDHGMgIHNYwxxhjLCBzUMMYYYywjcFDDGGOMsYzAQQ1jjDHGMgIHNYwxxhjLCBzUMMYYYywjJLVKdzqLrtvp9XpTXBPGGGOMJSp63E5k/e0hE9R0dHQAAMrKylJcE8YYY4wlq6OjAzk5Ob2WESiR0CcD6LqOM2fOIDs7G4IgpLo63Xi9XpSVlaGxsbHPZdXZwOP2Gdy4fQY3bp/BLR3ah4jQ0dGBkpISiGLvWTNDpqdGFEWUlpamuhq9crvdg/ZDxbh9Bjtun8GN22dwG+zt01cPTRQnCjPGGGMsI3BQwxhjjLGMwEHNIGCz2bB27VrYbLZUV4X1gNtncOP2Gdy4fQa3TGufIZMozBhjjLHMxj01jDHGGMsIHNQwxhhjLCNwUMMYY4yxjMBBDWOMMcYyAgc1KXbo0CHMmjULubm5yM/Px4oVK+Dz+bqVOXXqFObOnQun04nCwkL85Cc/gaqqKarx0PLhhx9iwYIFGD58ONxuN2688Ua8/fbb3crU1NRgxowZyM3NxbBhw1BVVYXDhw+nqMZDSyLtAwDPP/88KisrYbfbUVhYiAcffDAFtR16Em0fAGhra0NpaSkEQcCFCxcGtqJDVF/tc/jwYXznO99BWVkZHA4HKioqsHHjxhTWuG8c1KTQmTNnMHPmTIwbNw7V1dXYuXMn6urq8L3vfS9WRtM0zJ07F+FwGP/85z/xwgsv4Pnnn8eaNWtSV/EhZN68eVBVFW+99RYOHjyIq6++GvPmzUNzczMAwOfz4dZbb8XIkSNRXV2N9957D9nZ2aiqqoKiKCmufebrq30A4Ne//jVWr16NlStXoq6uDnv27EFVVVUKaz10JNI+UcuWLUNlZWUKajl09dU+Bw8eRGFhIbZv3466ujqsXr0aq1atwrPPPpvimveCWMps2bKFCgsLSdO02H1HjhwhAHTixAkiItqxYweJokjNzc2xMps3bya3202hUGjA6zyUnD17lgDQu+++G7vP6/USANq9ezcREdXU1BAAOnXqVKzMF9uQmSOR9mlvbyeHw0F79uxJVTWHrETaJ+q3v/0t3XzzzbR3714CQOfPnx/g2g49ybRPvB/84Ad0yy23DEQV+4V7alIoFArBarV2W6DL4XAAAN577z0AwIEDBzBp0iQUFRXFylRVVcHr9aKurm5gKzzE5Ofno7y8HNu2bYPf74eqqtiyZQsKCwsxefJkAEB5eTny8/OxdetWhMNhBAIBbN26FRUVFbjiiitSuwMZLpH22b17N3Rdx+nTp1FRUYHS0lJ8+9vfRmNjY4prn/kSaR8AqK+vxy9+8Qts27atz8UKmXESbZ8v8ng8yMvLG8CaJinVUdVQduzYMZJlmTZs2EChUIja29tp0aJFBIB++ctfEhHR8uXLafbs2d2e5/f7CQDt2LEjFdUeUhobG2ny5MkkCAJJkkQjRoygQ4cOdStz9OhRGjt2LImiSKIoUnl5OZ08eTJFNR5a+mqf9evXk8ViofLyctq5cycdOHCAZsyYQeXl5dzTOQD6ap9gMEiVlZX0hz/8gYiI3n77be6pGUCJfL/F279/P8myTLt27RrAWiaHw2ITrFy5EoIg9Hr5z3/+g4kTJ+KFF17Ar371KzidThQXF2P06NEoKiriXywmSrR9iAgPPvggCgsLsW/fPnzwwQe44447MH/+fDQ1NQEAAoEAli1bhmnTpuH999/H/v37cdVVV2Hu3LkIBAIp3tP0ZGT76LoORVGwadMmVFVVYcqUKXj55Zdx4sSJyyasst4Z2T6rVq1CRUUFlixZkuK9yhxGtk+8Y8eOYcGCBVi7di1mz56dgj1LDC+TYIKzZ8+ira2t1zJjxoyB1WqN3W5paYHL5YIgCHC73XjllVfwrW99C2vWrMEbb7yB2traWNlPP/0UY8aMwaFDh3DttdeatRsZK9H22bdvH2bPno3z58/D7XbHHhs/fjyWLVuGlStXYuvWrfj5z3+OpqamWCAaDocxbNgwbN26FYsXLzZ1XzKRke3z+9//HkuXLkVjYyNKS0tjZYqKivDEE09g+fLlpu1HpjKyfa655hocPXoUgiAAAIgIuq5DkiSsXr0ajz/+uKn7komMbJ+o+vp63HLLLbj//vuxbt060+puBDnVFchEBQUFKCgoSOo50ZyZ3/3ud7Db7Zg1axYAYOrUqVi3bh1aW1tRWFgIIJIn4Ha7MWHCBGMrPkQk2j6dnZ0AcEmvmSiK0HU9VkYUxdiXcvRxQRBiZVhyjGyfadOmAQAaGhpiQU17ezvOnTuHUaNGGVntIcPI9nnttde69WjW1NRg6dKl2LdvH8aOHWtgrYcOI9sHAOrq6jB9+nTce++9gz6gAcA5Nan2zDPP0MGDB6mhoYGeffZZcjgctHHjxtjjqqrSVVddRbNnz6ba2lrauXMnFRQU0KpVq1JY66Hh7NmzlJ+fT3feeSfV1tZSQ0MD/fjHPyaLxUK1tbVERHT8+HGy2Wz0wAMPUH19PR07doyWLFlCOTk5dObMmRTvQWZLpH2IiBYsWEATJ06k/fv309GjR2nevHk0YcIECofDKax95ku0feJxTs3ASaR9jh49SgUFBbRkyRJqamqKXVpbW1Nc+8vjoCbF7r77bsrLyyOr1UqVlZW0bdu2S8qcPHmSbrvtNnI4HDR8+HD60Y9+RIqipKC2Q09NTQ3Nnj2b8vLyKDs7m6ZMmXJJgvabb75J06ZNo5ycHBo2bBhNnz6dDhw4kKIaDy2JtI/H46GlS5dSbm4u5eXl0cKFC7udgs/Mk0j7xOOgZmD11T5r164lAJdcRo0albpK94FzahhjjDGWEfgUG8YYY4xlBA5qGGOMMZYROKhhjDHGWEbgoIYxxhhjGYGDGsYYY4xlBA5qGGOMMZYROKhhjDHGWEbgoIYxxhhjGYGDGsYYY4xlBA5qGGOMMZYROKhhjDHGWEbgoIYxxhhjGeH/AZCCcv0j50U+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For TN my input file says to cut out 2 districts out of 9\n",
      "performing cut no 0 for state TN\n",
      "the total proposed cutPop is 770396.0 . Compare to 767871\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "performing cut no 1 for state TN\n",
      "the total proposed cutPop is 410643.0 . Compare to 767871\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the state and the last proposed cutPoly.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POLYGON ((-83 36.7, -82.5 36, -81.5 36, -81.5 36.7, -83 36.7))\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter alternate [ x0, x1 ] for the first two points [-83.3, -82.8]\n",
      "enter alternate [ y0, y1 ] for the first two points [36.7, 35.9]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the total proposed cutPop is 496689.0 . Compare to 767871\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the state and the last proposed cutPoly.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POLYGON ((-83.3 36.7, -82.8 35.9, -81.5 36, -81.5 36.7, -83.3 36.7))\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter alternate [ x0, x1 ] for the first two points [-83.6, -83.1]\n",
      "enter alternate [ y0, y1 ] for the first two points [36.7, 35.8]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the total proposed cutPop is 582600.0 . Compare to 767871\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the state and the last proposed cutPoly.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POLYGON ((-83.6 36.7, -83.1 35.8, -81.5 36, -81.5 36.7, -83.6 36.7))\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter alternate [ x0, x1 ] for the first two points [-84, -83.5]\n",
      "enter alternate [ y0, y1 ] for the first two points [36.7, 35.7]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the total proposed cutPop is 785035.0 . Compare to 767871\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the state and the last proposed cutPoly.\n"
     ]
    },
    {
     "data": {
      "image/png": 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vcQfYK+Crv6oZns3x6rimUnUsrV/+o+gYsSWnedn/HKz+c+PzA8PU8HlznEqIgnuq/9cCzKr1yOADJ76AUQ81vg9L38v+cQCq47W4dKWn1USYox7WO5I2SVIjxPkCw6SlRnQ/TVuCopMvXu+q+9u8lEHTGP7Mx6RfH8aPknzUl2LpKTXarPQU5O+rW0y1RHVGbXiiDwyY0AFvRnSo+t+H4VZ942gHSWqEOJ8kNUJcFoPBQM+IMA7aekDvwa1X1rTG20sYpEOvO6pfFsbpaL2eG5CkRojzBYapzpZCiEuWYDG1b64ag6FuQjf5OnJbJ79Wpb1K3zjaQZZQFeJ8AWYZ/STEZbJaTDKrsLf49LeqjBuhbxztIKmxEOcLNHfcUFIhuimrxUROUSWapmHw4GUfBGqEVsLo5vPWuClpqRHifAFmNVW+EOKSWSOCqLY7OVNu0zsUcbk0R2O/GjcnSY0Q5/MPuXBlZSGESxIi1XwmOYXu3w9DtKHkJIRG6x1Fu0hSI8T5/ALBUeMRPf2FcFfWiPqkRvrVeLSqYjUMP7qVCR/diCQ1QpzPg4YvCuGuggN8iQz2l6TG0505pMrI/vrG0U6S1Ahxvtq6PgBuugKyEJ4ivr3DuoX7+voNVXbU7M6dTJIaIc7nqFFrr8iIDSEuS0LdCCjhwWqrIf5qNSrUA0hSI8T5qkvUBHxCiMtijQiSjsKeLjjKIybdq+dSUrNkyRJSUlIwm82YzWZSU1NZs2ZNszrbtm1j3LhxBAcHYzabGTNmDFVVF/+BPPfccxgMhmbbwIEDm9Wprq7mkUceITIykpCQEGbMmEF+fr4roQvRftUlHvNXiRDuLMFiIrekippap96hiEsVngCF36kFTz2AS0lNfHw8ixYtYufOnXz99deMGzeOadOmsX//fkAlNJMnT2bixIl89dVXZGRkMHfuXIzG1l9m8ODB5ObmNmxbt25t9vi8efP4+OOPee+999iyZQunT5/mtttuc/GtCtFO1SVqrhohxGWxWkw4NThd7Dl/6YvzRCSqVdiri/WOpF1cmk1n6tSpzY4XLFjAkiVL2L59O4MHD2bevHk8+uijPPXUUw11kpKS2g7C15eYmJgWHyspKWHp0qUsX76ccePGAfDmm28yaNAgtm/fzujRo115C6ItRcfhyHrQnBAUAYHhqgwKbzz28YxJmC5ZWR6EROkdhRAeL8FSN6y7qJLePYJ1jkZckuCeqqw4CyaLvrG0wyV/OzkcDt577z0qKipITU2loKCAHTt2MHPmTK699lqysrIYOHAgCxYs4Prrr2/1WkeOHCEuLo7AwEBSU1NZuHAhCQkJAOzcuRO73c748eMb6g8cOJCEhAS2bdsmSc3l0jQoOAAHP4aDqyF/Lxj9VCdZR03Lz/EPrUt0wlTpH6pW1vXxVyOGfAKa7Pup10BTiZLmVMcN++dtBqMaUm30A6NP3X7d5lNX+pnqXjdEnfPxV/V9/OuOA8C3bvMJqIstQMXSVudfhx1ydsC1P+3wH7UQ3U1sWCA+RoOMgPJkph6qLM+DnlfoG0s7uJzU7N27l9TUVKqrqwkJCWHVqlUkJyezfft2QPWReemllxg+fDhvv/02aWlp7Nu3jwEDBrR4vVGjRvHWW2+RlJREbm4u8+fP54YbbmDfvn2EhoaSl5eHv78/4eHhzZ4XHR1NXt7FV1K22WzYbI3Tc5eWdtO1fPIPwGcvqC993wAYMgP63QTF2fD36Sr7ri5Wt1sGTIQxP4P+E8A/WHUOqy6GqiI1AVNVUcvHtjKoqlRJUMNmV0OjHXaVSBiMLWyG5iUGQANHLThb2WoqwWm/tJ9HfcLj469KvyD13gPNdbecNLXuU/+0DvnxC9Gd+foYiQsPlM7Cnqx+yZjAcF3DaC+Xk5qkpCR2795NSUkJK1eu5J577mHLli046zoRPfjgg9x3330AjBgxgo0bN/LGG2+wcOHCFq83ZcqUhv2UlBRGjRpFYmIi//rXv5g9e/alvCcAFi5cyPz58y/5+V7j9C7Yvwpih8PZI2p4Xr+bIGsTnDsKNz6lhuv1GaNaNJryN6nNHKdL6BelaWoZg/rkxlFTlwjVJ1I155U2qK05r6xW+7VVUF2qEpnqErV/xWSIdf/VaIXwBNYIWa3bo9V/L3jICCiXkxp/f3/691czC44cOZKMjAwWL17c0I8mOTm5Wf1BgwaRnZ3d7uuHh4dzxRVXcPToUQBiYmKoqamhuLi4WWtNfn7+RfvhAKSnp/P44483HJeWlmK1Wtsdh9ewjlLlTb+ANU9CaN3PrOAgRA6Am9L1i+1SGQwQEKo2IYRbS7CYOJDbTVvKvYGpbmXuqkJ942iny56nxul0YrPZ6N27N3FxcWRmZjZ7/PDhwyQmJrb7euXl5WRlZREbGwuoxMnPz4+NGzc21MnMzCQ7O5vU1NSLXicgIKBh6Hn91i1F9ldD8o5uhLJcMPdS53P3QHRy688VQojLZJVZhT2bo+5Wv2+gvnG0k0stNenp6UyZMoWEhATKyspYvnw5mzdvZt26dRgMBp544gmeffZZhg0bxvDhw1m2bBmHDh1i5cqVDddIS0tj+vTpzJ07F4Cf//znTJ06lcTERE6fPs2zzz6Lj48Pd9xxBwBhYWHMnj2bxx9/HIvFgtls5qc//SmpqanSSbg9DAboO1Z1BK6thtBYsJXDyQyY9Fu9oxNCeDmrxURxpZ3SajvmQFl6xOPUJzO11frG0U4uJTUFBQXMmjWL3NxcwsLCSElJYd26dUyYMAGAxx57jOrqaubNm0dhYSHDhg1j/fr19OvXr+EaWVlZnD17tuH45MmT3HHHHZw7d46ePXty/fXXs337dnr27NlQ5/e//z1Go5EZM2Zgs9mYNGkSf/rTny73vXcfYQlQdlrtB5rhxJeq/0m/m/SNSwjh9awRQYBarXtwnMzULTqXS0nN0qVL26zz1FNPNZun5nzHjx9vdrxixYo2rxkYGMgf//hH/vjHP7ZZV7Sg6cKMVUWQ85W6DeUhq64KITxXw1w1hVWS1Hgie4Uq/T1jniEvn0VNAGpkT1iCGvWT8xXs/wAGf18WbBRCdDpLsD8mfx8ZAeWpjtb1Z/WQWdYlqekOKs+pGYH73ghfvgoYYMTdekclhOgGDAaDGtYtq3V7HkctfPkHiEqG2GF6R9MuktR0B2ePqFtNN/1STToXlQwxQ/SOSgjRTcgIKA9Vlqsmar1jhce07F/2kG7h5qqK1Uin+KvU7Llpz8DQ/9E7KiFEN2K1BMntJ0/mG6B3BO0mSY23O7xOzaw7eLrekQghuqkEi4mcoiqcTk3vUIQrnLV6R+AySWq83dENaokEd1vqQAjRbVgjTNTUOjlTbmu7snAf/iGqrC7RNw4XSFLj7crzwdJH7yiEEN1YQqQa1i39ajxM7m5Vhrd/VQC9SVLj7Rw1amVqIYTQSXyTCfiEB6lfX8/Hv/V6bkSSGm8XEArVxXpHIYToxkz+vvQICSCn0DNWehZ11vyvKsN66RuHCySp8XY9roD8A3pHIYTo5qyWILn95Glyv1VlUIS+cbhAkhpvFzcCSrKh4mzbdYUQopOoEVCS1HiMrE16R3BJJKnxdr1GqvLUTn3jEEJ0a9YIk/Sp8SSVhap8bJ++cbhIkhpvF9EbTJFw8mu9IxFCdGMJFhN5pdXYah16hyJc4RuodwQukaTG2xkMqrVGWmqEEDqKtwShaXCqSDoLewRzXefgvG/1jcNFktR0B72uUkmNJrN5CiH0kWBRc9XkSFLjGaKTVXlkvb5xuEiSmu4gZoga1l2Wp3ckQohuKjYsCF+jQUZAeYrAMIhJgVrPmgVakpruoOdAVZ45qG8cQohuy8dooFdEECclqfEcpafAZNE7CpdIUtMdRPQGDFB0Qu9IhBDdmDXCJC01nqTynEet+wSS1HQPBiOg1ZVCCKEPq8xV41l6DoICz2rhl2+57sBe1zHPV9aAEkLox2oJIvucJDVuzVbWOKgkfqT0qRFuqLyug3BItL5xCCG6tQSLidLqWkoq7XqHIlpSmgsL42HPv9RxcE8oz9c3JhdJUtMdlOaq0uw5i5IJIbyPNaJ+WLe01rilT36myqLjqgxPgJKT4HTqFpKrJKnpDsrqk5pYfeMQQnRr1vq5aqSzsPs58SVkfqL2D69Rt6ACzICmOgx7CElqvFHRcTi6sbHXesFBtVRCQKiuYQkhurcIkx8hAb4yAsrdnMuCf9wOvW9QnYNPf6OSHKMvGP1g0/N6R9huvnoHIDqYvQr+Ok5l1gFhMGURfPsPuGKK3pEJIbo5g8FAfESQ3H5yN6+PUWs83f4u+AXDryPhrZsbH8/J0C82F0lLjbc5vE4lNDNXQp8b4IOHVYvNtT/VOzIhhCDBYiK7UJZKcBs5GVBTDkNuU7MI+/jC5P9rXseDRs5KS423OXsETD1gwAToP141KwaaISRK78iEEAKrxcSnhwr0DkPUq+9HM+m3jedGPwQDb1ajn/b8E3ok6RPbJZCkxttUnoXgHmrfYIAe/fWNRwghmkiwmDhZVIXTqWE0GvQORxzZAMPuBB+/5ufDE1Q58t4uD+lyyO0nb+MfrCZPEkIIN2S1BFHjcJJfVq13KKKqCAr2Q2Kq3pF0GElqvE14IpSehtoavSMRQogLJNQN65aZhd3Ad1tAc0LfsXpH0mEkqfE2Eb0BDc4d0TsSIYS4QHzDBHzSWVhXtTXwxSvQ66rGW01eQJIab2MdpToKf/2m3pEIIcQFAv18iAoNkLlq9LZxPuTvh4m/1juSDiVJjbfxC4Srfwy734XKQr2jEUKIC1gtJk5KUqMfTYNdf4fURyDxWr2j6VCS1Hijq2eDww7frtA7EiGEuECCxSQT8Omp+ATYSiDxOr0j6XCS1HijkCgYMBG+ecejFiITQnQP1ogguf2kp7x9qoweom8cnUCSGm913aNqqN6uZeCo1TsaIYRoYLWYyC+1UW136B1K95S/T60HGBqjdyQdTpIab5UwGgZNhdWPwYeP6B2NEEI0qF+t+6SMgNJH3l6IHqwmaPUyktR4s4kLVLlnhbTWCCHcRv1cNdKvRif5+yB6qN5RdAqXkpolS5aQkpKC2WzGbDaTmprKmjVrmtXZtm0b48aNIzg4GLPZzJgxY6iqung2vnDhQq6++mpCQ0OJiori+9//PpmZmc3qjB07FoPB0Gx76KGHXAm9e4pIhB/+Xe3bSvWNRQgh6kSbA/HzMZAj/Wq6XnUpFB2HGO/rTwMuJjXx8fEsWrSInTt38vXXXzNu3DimTZvG/v37AZXQTJ48mYkTJ/LVV1+RkZHB3LlzMRov/jJbtmzhkUceYfv27axfvx673c7EiROpqKhoVm/OnDnk5uY2bC+88MIlvN1uKDBMlVVF+sYhhBB1fIwG4iNMktTooeCAKr2wkzC4uKDl1KlTmx0vWLCAJUuWsH37dgYPHsy8efN49NFHeeqppxrqJCW1vrrn2rVrmx2/9dZbREVFsXPnTsaMGdNw3mQyERPjfZ2aOl39kvEOu75xCCFEE/EyAkofeXvB6As9PWflbVdccp8ah8PBihUrqKioIDU1lYKCAnbs2EFUVBTXXnst0dHR3HjjjWzdutWl65aUlABgsVianX/33Xfp0aMHQ4YMIT09ncpK+Z8BgPwD8J8noLoETn/TPHkpOQXZ2/SLTQghLiLBYiKnUDoKd7n8fdAjqfEPXi/jUksNwN69e0lNTaW6upqQkBBWrVpFcnIy27dvB+C5557jpZdeYvjw4bz99tukpaWxb98+BgwY0Oa1nU4njz32GNdddx1DhjQ2jd15550kJiYSFxfHnj17ePLJJ8nMzOT999+/6LVsNhs2m63huLTUS/uUfPU67HwLvvqLOu57E8xcCUYfeO8eOJmhzodG6xaiEEKcz2ox8dHu02iahsELR+G4rbx9XtufBi4hqUlKSmL37t2UlJSwcuVK7rnnHrZs2YKzbpK3Bx98kPvuuw+AESNGsHHjRt544w0WLlzY5rUfeeQR9u3bd0HrzgMPPNCwP3ToUGJjY0lLSyMrK4t+/fq1eK2FCxcyf/58V9+e58nbq9Z6uu5R1X9m9eOw8Tnol6YSGusoGD4TgiL0jlQIIRokWEyU2WopqbITbvLXO5zuwelUfWqSp+kdSadxOanx9/enf//+AIwcOZKMjAwWL17c0I8mOTm5Wf1BgwaRnZ3d5nXnzp3L6tWr+eyzz4iPj2+17qhRowA4evToRZOa9PR0Hn/88Ybj0tJSrFZrm3F4nJKTalmE6/6fOq6pgHW/gC9fg943wKwPVauNEEK4EWvdat3ZhZWS1HSVomNgr5SWmtY4nU5sNhu9e/cmLi7uguHYhw8fZsqUKRd9vqZp/PSnP2XVqlVs3ryZPn36tPmau3fvBiA2NvaidQICAggI8M57hs2Ye6m+M/VG/0S1ylSXwIi7JKERQrglqyUIgJzCKlLiw/UNprvI26tKL52jBlxMatLT05kyZQoJCQmUlZWxfPlyNm/ezLp16zAYDDzxxBM8++yzDBs2jOHDh7Ns2TIOHTrEypUrG66RlpbG9OnTmTt3LqBuOS1fvpwPP/yQ0NBQ8vLyAAgLCyMoKIisrCyWL1/OzTffTGRkJHv27GHevHmMGTOGlJSUDvxReKi4EXB4LTgdKoExGGD4nXpHJYQQrQoL8iM00FdGQHWl/H0QHAUhPfWOpNO4lNQUFBQwa9YscnNzCQsLIyUlhXXr1jFhwgQAHnvsMaqrq5k3bx6FhYUMGzaM9evXN7tFlJWVxdmzZxuOlyxZAqgJ9pp68803uffee/H392fDhg288sorVFRUYLVamTFjBk8//fSlvmfvMnwmfL0Usj6FAeP1jkYIIdrFYDBgjZDVurtU/gG1PIIXcympWbp0aZt1nnrqqWbz1Jzv+PHjzY41TWv1elarlS1btrQrvm6p15UQlQzfvC1JjRDCo6hh3ZLUdJn8fWpNQC8maz95OoMBRtwNh/4DFWfbri+EEG7CagmSpKar2Mqg+ITXt9RIUuMNUn6kkptvV+gdiRBCtFuCxcSp4iocztZb7EUHKDikSklqhNsLjoSBt8A3f4c2bucJIYS7iLeYsDs08kqr9Q7F++XvA4OPmk3Yi0lS4y1G3A1nDsHJr/WORAgh2iXBUjdXzTm5BdXpCg5AZH/wC9Q7kk4lSY236HsThFlVh2EhhPAAvcLr5qqREVCdL38/RCe3Xc/DSVLjLYxG1VqzdyWUntY7GiGEaFOgnw8x5kDpLNzZNK0uqfHu/jQgSY13Gf0Q+Jng85f1jkQIIdpFRkB1gdLTUF0MUZLUCE8SGAZX3g17/wV26XgnhHB/VotJZhXubAUHVCm3n4THGX6XWvcp8z96RyKEEG1SswpX6R2Gd8vfB/6hEJ6odySdTpIab9Ojv5ph+JjMwiyEcH8JFhNnymxU1Tj0DsV71XcSNhj0jqTTSVLjjeKvhpwMvaMQQog2WeuGdZ+UEVCuKcuHU7vaV7ebdBIGSWq8U68r1T3UWpvekQghRKvq56qRYd0uemcG/PUm+G5z6/Vqa+DsYUlqhAez9AU0KM7WOxIhhGhVVGgA/r5GmYDPFSWnIH+v2n97mhrdtPX34LBfWPfsYXDWQvSQro1RJ5LUeCNTpCqrinUNQwgh2mI0GoiPCJLOwq44vlWVw+5Q5cuDYMNzkLPjwrr5+1UZNahLQtObJDXeyFnX4c4oH68Qwv1ZI2RYt0uOfwY9B8H3Xmt+vj6BaXZuH4QnqCk/ugFfvQMQnUCrS2oMPvrGIYQQ7ZBgMZFxvFDvMNzb4XWw558QkwLfvAOpc8HHF36WqR5/6xYoOnHh8/L3d4tJ9+pJUuONNKcqjZLUCCHcn9USxPu7KtE0DUM3GHbssspCWP5Dtb/v36pMvE6VoTGqDE+E4oskNSPu6vwY3YTcn/BGlXV/8QSY9Y1DCCHaIcFioqLGQVFlCx1dBRz4AGiS7F0xBQZMaF4nJBoqzjYeH9kAz4VBeV63GfkE0lLjnb7brDoLh1n1jkQIIdoUH6GGdWcXVmIJ9tc5GjeiaVByElbPg/4TYOZ7kLcHYoe1/dzjnzfud5ORTyAtNd6n/Ax8/SYMnykdhYUQHqF+Aj5Z2PI8/7gdXqlLSMY9rWYEvlhC4+sP9orG44KDENEbJv8f9BjQ6aG6C/nW8zZfLgaDEa6fp3ckQgjRLmFBfoQF+ckIqKZKTsLhtWp/5kqIG956fUtfKDym+tCcyYSjG2DUwzD6oW6xPEI9uf3kTb5dAV++BmOfApNF72iEEKLdrJYgWSqhqdXzIMgCj+2BgNC264dZoaYcllzbeG7kvZ0WnruSpMZbHPsMPnhY9XIf8796RyOEEC5JsMhcNQ3K8uHIf2HSwvYlNAAJqdD3JvDxV7MIj7gL/AI7N043JEmNN6i1wfsPQO/rYepi6UsjhPA41ggT+07l6R2Ge/h6qSoHT2//c8yxMOuDTgnHk0hS4w2+2wxluXD3KpmbRgjhkawWE6eKq6h1OPH16cZ/mNmrIGMpXD1HJSrCJd34X44Xyd4GITHQc6DekQghxCWxWkw4nBq5JdV6h6KvQ59A5VkY/bDekXgkSWq8QVkeWPp0qx7uQgjvkiDDupWTGWDpB5H99I7EI0lS4w1qKsDPpHcUQghxyeLCAzEYIKe7j4DK3QOxKXpH4bEkqfEG9krwl6RGCOG5Anx9iDUHeucIKHs7b6k5nZC3Vy1aKS6JJDXeoKYS/IL1jkIIIS5LvMVETmGV3mF0rBNfwoJoOLqx7bpFx6CmTFpqLoMkNd6gplxaaoQQHs/r5qqptcF796n9z15su37eHlXGtGNtJ9EiSWq8gb0S/KWlRgjh2awRJu+aVXj142qV7AET1ShVW3nr9XP3QGgshPTsmvi8kCQ13kBuPwkhvEBCZBBny2uosNXqHcrlK86G3e/CjU/CVferc1VFrT8nb4/0p7lMktR4A3uF3H4SQng8a4T6PXayyAv61Xz5KpgiYfRPoMcV6tzON1t/jox8umyS1HiDmkoZ0i2E8Hj1c9V4fL8ahx32/RuG3wlB4WrOmWF3wOe/U1NwtKQsDyoKIFb601wOSWo8ncMOTrv0qRFCeLyeoQEE+Bo9fwK+z1+GynMw7PbGc0k3q/LrN1p+Tm59J2FpqbkcktR4uspCVQZZ9I1DCCEuk8FgwGoxefYEfDUVsPMt6H0DRA9uPN9nDBh8wHiRJRfzvoXAcAhP6IoovZYsaOnpyk6rUnrLCyG8gDUiyLNbao59pn4v3/1+8/OH14LmgORpLT8vdw/EDJXlbi6TSy01S5YsISUlBbPZjNlsJjU1lTVr1jSrs23bNsaNG0dwcDBms5kxY8ZQVdV6p68//vGP9O7dm8DAQEaNGsVXX33V7PHq6moeeeQRIiMjCQkJYcaMGeTn57sSuvfK3QMGoyxmKYTwCgmePAGf06HmpfELbuwcXK/wmOo4bI5r+bl5e6Q/TQdwKamJj49n0aJF7Ny5k6+//ppx48Yxbdo09u/fD6iEZvLkyUycOJGvvvqKjIwM5s6di9F48Zf55z//yeOPP86zzz7Lrl27GDZsGJMmTaKgoKChzrx58/j4449577332LJlC6dPn+a22267xLfsZU7vUgmN9KkRQngBa90EfJqm6R2K61bMhNoqmPYqGH2aP5a3F6KSW35edQkUHZf+NB3ApdtPU6dObXa8YMEClixZwvbt2xk8eDDz5s3j0Ucf5amnnmqok5SU1Oo1X375ZebMmcN996lZF//85z/zySef8MYbb/DUU09RUlLC0qVLWb58OePGjQPgzTffZNCgQWzfvp3Ro0e78ha8z+lvIO5KvaMQQogOER9hosru4FxFDT1CAvQOp/1qKuBw3Z2LITMufLz0JEQPafm5eXtVKcO5L9sldxR2OBysWLGCiooKUlNTKSgoYMeOHURFRXHttdcSHR3NjTfeyNatWy96jZqaGnbu3Mn48eMbAzIaGT9+PNu2bQNg586d2O32ZnUGDhxIQkJCQ52W2Gw2SktLm21exVYOu96Gs0egZ+uJoxBCeAqPHNZdWwOLEtX+/7QwuslhhzOZF+8mcHid6iQcOaDTQuwuXE5q9u7dS0hICAEBATz00EOsWrWK5ORkvvvuOwCee+455syZw9q1a7nyyitJS0vjyJEjLV7r7NmzOBwOoqOjm52Pjo4mLy8PgLy8PPz9/QkPD79onZYsXLiQsLCwhs1qtbr6Vt1b5n/go5+qJRLir9Y7GiGE6BBWSxCAZ3UWPvChmlrjlpdbbqWprVZbS/1pCr+DL/+ghn/7eObYnexzlcxdvguAyBB/XWNxOalJSkpi9+7d7Nixg4cffph77rmHAwcO4HQ6AXjwwQe57777GDFiBL///e9JSkrijTcuMi6/E6Wnp1NSUtKw5eTkdHkMnaq+GXPWh5CYqm8sQgjRQUID/Ygw+XlWUlOSAwFhcPXslh/3CwYff9Wyfr5Dn6jyuv/XefF1krJqO4vWHGL8y1v4NqeEV340nLFX6DsS1+W00N/fn/79+wMwcuRIMjIyWLx4cUM/muTk5h2hBg0aRHZ2dovX6tGjBz4+PheMZMrPzycmJgaAmJgYampqKC4ubtZa07ROSwICAggI8KD7sa7qORB8gyD/APQdq3c0QgjRYayeNgIqfz/0vOLijxuNcMUk+G4z3JTe/LHMNdB//MVHRbkhh1Nj5c4cXlx3mLJqOw+N7cdDN/bF5K9/S9NlT77ndDqx2Wz07t2buLg4MjMzmz1++PBhEhMTW3yuv78/I0eOZOPGjc2ut3HjRlJTVevDyJEj8fPza1YnMzOT7OzshjrdktEIAaEXn3JbCCE8VP0IKI9Rnt/2pHk+/hdOvFdyEk582fItKzf11bFCvvfaVp78915S+0Wy6edjeXzCFW6R0ICLLTXp6elMmTKFhIQEysrKWL58OZs3b2bdunUYDAaeeOIJnn32WYYNG8bw4cNZtmwZhw4dYuXKlQ3XSEtLY/r06cydOxeAxx9/nHvuuYerrrqKa665hldeeYWKioqG0VBhYWHMnj2bxx9/HIvFgtls5qc//Smpqaky8sk3UN2nFUIIL2KNMPFtTrHeYbRfVZGao6Y1paebJz6aBm/dCmgw8JZODa8j5BRWsmjNIT7Zm0tKfBgrH0rlqt7uN5O9S0lNQUEBs2bNIjc3l7CwMFJSUli3bh0TJkwA4LHHHqO6upp58+ZRWFjIsGHDWL9+Pf369Wu4RlZWFmfPnm04/tGPfsSZM2d45plnyMvLY/jw4axdu7ZZ5+Hf//73GI1GZsyYgc1mY9KkSfzpT3+63Pfu+XwDJKkRQnidBIuJ08VV2B1O/Hw8YDWfkGjI2gj2avALbLlOWS5Yr2k8/sftUHQMbvgZBIZ1TZyXoMJWy5LNWfzl8+8ID/LjpR8M47YRvTAa3XPmY4PmkTMcua60tJSwsDBKSkowm816h9Mx/nwD9LoSpi7WOxIhhOgwnx85w91Lv+KzJ24iIdKkdzht++IPsP5X8Kuz4OPXcp0XB6hVuG/7G/ibYMWdkHg93LvaLZdGcDo13v/mFC+sPURxlZ05N/ThJ2P7ExzQ9beZXPn+do+bYOLSWPo2TtokhBBeoulcNR6R1Bz/HBKvu3hCAzDkNtjxZ3j/xxCeCAnXum1Cs/NEIc9/fIBvT5Zwy9BYnpoyEKvFAz4HZJVuzzb0B3BqJ2Rv1zsSIYToMHHhQRgNeM5q3cXZajHK1kz5P3j8YF39E2o0lJslNKeLq3j0H98wY8k2ap0a/3xgNH+ceaXHJDQgSY1nS7pZDe3+7CW9IxFCiA7j52MkNizIPUdA7V8Fz4XBrr+rzr6OWjhzCPxD2n6uOQ5GP6L2+93UuXG6oKrGwe/XH2bc7zbzZdZZ/m/GUD6aez2j+kbqHZrL5PaTJzMa4cb/hZX3w9GN0D9N74iEEKJDWC1B7jcB3+nd8N69av+jueAXBOZe6ri9K2xP/q3qHBysf8KgaRof7j7N/609xLnyGu67vjdzb+pPaGArt9HcnCQ1nm7wbbDjL/DpAug3zu2aM4UQ4lIkWExk5pXpHUZzn/9OlQ9+Dq/foG79B4SCKdK1YdlukNDszilm/sf7+Sa7mEmDo/nFzYNIjAzWO6zLJkmNpzMYVNa//Adw4gvofb3eEQkhxGWzRpjYcLBA7zCaczpgwES1mvaIu+HgxxAarWYENvroHV275JVU88LaQ7z/zSkGxoSyfM4oru3XQ++wOoz0qfEGAyaoTmr//RXUrcElhBCeLCHSRGFFDeW2Wr1DUYqzIfMTNT8YwODvQ3ke5H7rEUscVNsd/GHjEW56aTObD59hwfQhfPLoDV6V0IC01HgHgwHGz4d3boPT30D8SL0jEkKIyxIfoUbc5BRWMijWDeYWW/OkKn3rJtfr16QPoxtP96ZpGqv35LJozSEKyqq599rezB03gLAgz+030xpJarxFnxvBzwTZX0pSI4TweE3nqnGLpCa8bg3D0T9RpcEAph5QeRauuk+/uFqx92QJz6/eT8bxIsYPiuKdH4+iTw/P7zfTGklqvIWPr/qfrrjlFdGFEMKT9AjxJ8jPx31GQPUZAzuWQFh847l7PgaHDSJ66xZWSwpKq3lxXSYrd51kQFQIf599DTcM6Kl3WF1CkhpP9d59ahn7me9B/FXqXGiMWi1WCCE8nMFgcK9h3UERqqw4CyFRaj86Wb94WlBtd7B06zH+9OlR/H2NPP+9wdxxTQK+nrB+VgeRpMYTleXDgQ9Ac8IHP4FHdqimUKOPOieEEF7AGmEip6hK7zCUiLrbT8XZbpfMaJrG2n15/HbNQXKLq7k7NZHH0q4gzOSd/WZaI0mNJzrwIRiM8INl8K+74WRG3eqvBrfusCaEEK6wWkx8cfSs3mEoIdFg9IWSHL0jaWb/6RKe//gAO44VclNST9689xr6R7VjdmMvJUmNJ9r3bzXR3sBbICQG9q5USY3mkMn3hBBew2oxkVNUiaZpGPT+3Wb0UbMHl5zUN446Z8ps/O6/mfzz6xz69gjmrfuuZmxSlN5h6U6SGk9TVQw52+F7r6n/yQZPh/3vw+SFUF3SOGW3EEJ4OGtEENV2J2fKbUSFBuodjupLU67vhIC2WgdvfXGcVzcdxWiAZ25N5q7Rifh1o34zrZGkxtPk71dlfefgITNUj/zjW6E0V/XQF0IIL5AQ2ThXjVskNeeyoK8+C1FqmsZ/D+Tz2/8c5GRRFTNHJTBv/BVEBPvrEo+7kqTG05TlqjLMqsr4q9Rwwo3PQ9lpsI7WLTQhhOhI1oYJ+KoYmahzMABVhfDZizDul136sofySvn16gN8cfQcNwzowV9nXcUV0aFdGoOnkKTG01QVgdEP/OsmUDIYYPhMtaBlcE/oO1bX8IQQoqMEB/gSGexPtrsM6+41skv71Jwrt/Hy+sP846tsEiODWXrPVYwbGKV//yI3JkmNp6kpVwlN03/U1zyg5qcZMAn83KCJVgghOki8xeQec9Uc+xxO7VQLWXaymlonb287zuKNRwD4xc2DmJXaG39f6TfTFklqPI1vENgr1cKVxrp/4EHhcMvvdA1LCCE6Q4LF5B4tNZ+9qMq0ZzrtJTRNY9OhAhZ8cpDj5yq4/ZoEfjbhCiJDAjrtNb2NJDWepmcSOGog71uIG6F3NEII0amsEUHsOlGkdxhqde6kmxtnE+5gR/LLeH71AT4/cpZr+0Xyx5lXuseaVx5GkhpPk3id6hj8yc/gntXgb9I7IiGE6DQJFhOnS6qoqXXqe/vF6Kf+oOxgRRU1vLLhMO/syCY+IojX7x7JxORo6TdziSSp8TS+/vA/b8Jbt8D7c9Sswj7yMQohvJPVYkLT4HRxFb31XGHaaARHx13O7nDy7vYT/H7DERxOjScmJXHfdb0J8PXpuBfphuTb0BP1ulIlNv+cCR/Nhe8vkZmEhRBeKcGiWqOzCyv1TWp8AtTkpx1gc2YBv/nkIFlnyvnRVVZ+NjGJnqHSb6YjSFLjqZImq2Tm/TlqGPew2/WOSAghOlxsWCA+RgM5RTp2FrZXQ8FBCI68rMtknSnnN6sP8GnmGa7pY+GVH13PkF5hHRSkAElqPFvKD+HwOtjwnCQ1Qgiv5OtjJC48UN8RUIdWQ8F+uOvfl/T0kko7izce4e1tx4kJC2TJzCuZPCRG+s10AklqPF2fMbBvZfMh3kII4UWsESZOFlbpF0BZnir7pbn0tFqHk398lc3L6w9jq3Uyb8IVzL6+D4F+0m+ms0hS4+k0JxiMgKZ3JEII0SkSLCb2ny7V58WdTjVje2icS30Xtx45y69XHyAzv4z/GRnP/05KIsosk6N2NklqPN3ZIxAaq1bsFkIIL2S1mFi7P0+fFy/JVhOejvtVu6ofO1vBgk8OsuFgPlclRvDR3OtIiQ/v3BhFA0lqPFF5gVoqwccf9r4HQ27TOyIhhOg0VouJ4ko7pdV2zIF+XfviJ7ap8opJrVYrrbbz2qajvPnFMaJCA3n1jhHcmhIr/Wa6mCQ1niZvL7x5C5giYMRdUFHQJWuRCCGEXqwRQQDkFFYyOK6LRwsVHYOgCIjs1+LDDqfGPzNy+N1/M6mscfDTcQN4YExf6TejE0lqPM0nPwMDUFkIm34DA2+FmCF6RyWEEJ2mfq4aXZKac0chKrnFh7ZlneP51Qc4mFvKbSN68cTkJGLDgro2PtGMJDWepPAY5OyAGUvV/2QbnoOJv9E7KiGE6FSWYH9M/j7k6DEC6uxhiLuy2ansc5X89j8HWbs/jxEJ4az6ybWMSIjo+tjEBSSp8ST73we/YEiaovrUzPyX3hEJIUSnMxgMnb9ad61Nre3kGwg+TfrtFBxqGMpdbqvltU1HeWPrMSzB/rzyo+F8b1gcRqP0m3EXktR4kqITapVufx2nChdCCB3ER5g6b1ZhTYPFw6AsVx3f8ju4+sdw9ig47WgGH97LyOGFdZmUVdt5aGw/HrqxLyZ/+Qp1N/KJeBKHHXxlfRAhRPdjtQSx5fCZzrl43t7GhAZU38Wi42ArA+D2/VezI3cP3xsWx5NTBtIrXPrNuCtJajyJw9a8WVQIIbqJBIuJk0VVOJ1ax9/u2fQbCLLAzzIBDX4TBV++CsAfa79HlU8o/344mZGJlo59XdHhZF59T+KoUXPTCCFEN2ONMFFT6+RMua1jL3zscziyDobdAb7+VDh8+MPVmxoe7jfhIT74yXWS0HgIl5KaJUuWkJKSgtlsxmw2k5qaypo1axoeHzt2LAaDodn20EMPtXrN8+vXby+++GJDnd69e1/w+KJFi1x8q17AYZekRgjRLSVEqmHdHdZZuOCgaqFZdiuEJeAc9wwrd57kppc289q2AlYk/5nqGW8z+cbrpCOwB3Hp9lN8fDyLFi1iwIABaJrGsmXLmDZtGt988w2DBw8GYM6cOTz//PMNzzGZTK1eMzc3t9nxmjVrmD17NjNmzGh2/vnnn2fOnDkNx6Ghoa6E7nmqSyHQ3PycowYCzC3XF0IILxbfZAK+q3tfZqtJTSX8abTaD4km89r/43//8jXfnizhlqGxPDVlIFZL699dwj25lNRMnTq12fGCBQtYsmQJ27dvb0hqTCYTMTEx7b7m+XU//PBDbrrpJvr27dvsfGhoqEvX9Wjf/hM+eBh+vAF2vgmDp0O/cVCWr9Z5EkKIbsbk70uPkICOaakpzgag5Mbf8Ku86/lo1WkGx2n884HRjOobefnXF7q55D41DoeDFStWUFFRQWpqasP5d999lx49ejBkyBDS09OprGz/P8D8/Hw++eQTZs+efcFjixYtIjIykhEjRvDiiy9SW1vb6rVsNhulpaXNNo/gsKtJ9TQH/PUm2PU2vP8gnNoJBfth0NQ2LyGEEN7IagnqkAn4bMXqDsGPNpn4MuscL8xI4aO510tC4wVcHv20d+9eUlNTqa6uJiQkhFWrVpGcrKaQvvPOO0lMTCQuLo49e/bw5JNPkpmZyfvvv9+uay9btozQ0FBuu635Ao2PPvooV155JRaLhS+//JL09HRyc3N5+eWXL3qthQsXMn/+fFffnv52LVNDC5OnwbnvoH8afPEKrH8WLH1hwES9IxRCCF0kWEzkXEZLjaZpfLj7NEWr3+E2LZhxo0fxcFoSoV29SKboNAZN0zRXnlBTU0N2djYlJSWsXLmSv/3tb2zZsqUhsWlq06ZNpKWlcfToUfr1a3kxsKYGDhzIhAkTePXVV1ut98Ybb/Dggw9SXl5OQEDL87bYbDZstsZe8qWlpVitVkpKSjCb3bhfyl/GQpgVfvR3dZyTAUvHq/2ZK2HABN1CE0IIPb20LpN/7zrJtvQ0l5+7O6eY+R/v55vsYjJCfkZQ/+sJuf1vnRCl6GilpaWEhYW16/vb5ZYaf39/+vfvD8DIkSPJyMhg8eLFvP766xfUHTVqFEC7kprPP/+czMxM/vnPf7YZw6hRo6itreX48eMkJSW1WCcgIOCiCY/bqi5Vk0CNuKvxnPVqmPIihMVLQiOE6NYSLCbySqux1ToI8G3fKth5JdW8sPYQ739zioExofxrVhI9/5ULyZM6OVqhh8uefM/pdDZrEWlq9+7dAMTGtt25denSpYwcOZJhw4a1WXf37t0YjUaioqJcitXt7X5XTdc94Lz/2UY9oE88QgjhRuItQWganCqqom/PkFbrVtsd/PWz7/jT5ixM/j78dvpQfnS1FZ8j61QF69VdELHoai4lNenp6UyZMoWEhATKyspYvnw5mzdvZt26dWRlZbF8+XJuvvlmIiMj2bNnD/PmzWPMmDGkpKQ0XGPgwIEsXLiQ6dOnN5wrLS3lvffe43e/+90Fr7lt2zZ27NjBTTfdRGhoKNu2bWPevHncddddRER42aqo366A5O9BuFXvSIQQwu0kWBrnqrlYUqNpGqv35LJozSEKyqq599re/HRMPOY1c2H3CcjdrW7xhyd2YeSiq7iU1BQUFDBr1ixyc3MJCwsjJSWFdevWMWHCBHJyctiwYQOvvPIKFRUVWK1WZsyYwdNPP93sGpmZmZSUlDQ7t2LFCjRN44477rjgNQMCAlixYgXPPfccNpuNPn36MG/ePB5//PFLeLturrJQdQwWQghxgdiwIHyNBnKKWh4BtfdkCc+v3k/G8SLGD4rmnR+Pok+PYMhcAwc+bKx4y+/AIBPqeSOXOwp7Klc6Gulm8TBI/j5M8MBRW0II0QVufPFTJg2O4Rc3D2o4V1BWzYtrM1m56yQDokL41a3J3DCgZ+OT/n4bVJ6F+9epWdmN7euPI9xDp3YUFp3I4KPmpxFCCNEia0TjsO5qu4OlW4/xp0+P4u9r5PnvDeaOaxLw9TlvCrbS09DnBvCT1bW9nSQ17sRgVB2FhRBCtMhqMbHnZDFr9uby2zUHyS2uZlZqb/5f2gDCTBeZb8YvCGxlXRuo0IWs0u1OJKkRQohWWS1B7D9dysPv7qJ/zxDWPjaGZ6YmXzyhASg9pToHC68nLTXuxGCQ209CCNGKMQN6svXIWR4Y05exSe2c1sM/BOwdtLq3cGuS1LgTUw+1RIIQQogWDekVxvI5o9v/hMpCKD4hLTXdhNx+cicxQ9WMwkIIITrG1pfBJwCSJusdiegCktS4k5ihUHhMOrQJIURHydsH/W6CiN56RyK6gCQ17iRmKKBB/gG9IxFCCM93cDV89ykkXqd3JKKLSFLjTnoOBKMf5O1RxyWn4L175ZaUEEJcigMfgG8QXD1b70hEF5Gkxp34+qvE5vQ36njjfNi/Cr74g75xCSGEp6gqgufCYPdyNeneoFvBN0DvqEQXkaTG3fQfB4fXQW2NWq8EIPdbfWMSQghP8d69qvzgYTjxBQS3c9i38AqS1LibITPUGiWr54GtFJJugZKTekclhBCeIf8ADLy18TjxWv1iEV1O5qlxN7HD4Oo5kPFXCAyD+KtURzchhBCtc9RC5TnonwbRQ+D45zDwFr2jEl1Ikhp3NGkBxKaAdRQc+a9a6FIIIUTrzh5Ws7Jb+sJV9wPpekckupjcfnJHvgFw5SzomaTmrPEP1jsiIYRwfx8/qkqrCzMOC68iSY27KzoOYb30jkIIIdzbsc/gZAZEDgC/QL2jETqRpMadFR6DAx9C//F6RyKEEO7t85chPBEe2qp3JEJHktS4sy8WQ4AZrvt/ekcihBDuS9PgXBYMmiqtNN2cdBR2R9Ul8N1m+PYfMObn0qdGCCFas/NNKMmGK2TRyu5Okhp39OEjcPBjtbLsVTK9txBCtKiqCM4ehfXPwoi7oM8NekckdCZJjbs5+bVahK33DTD+OTBZ9I5ICCHc07pfwu531R+AY2X4tpCkxr04auHjx9QcNXd/AD7y8QghxEWd+BIi+8Od/4KweL2jEW5AvjXdyZF1kL8XZm+QhEYIIVpTWQhFx+C2v0JkP72jEW5CRj+5k8w1apVu69V6RyKEEO7t6AZVxo3QNw7hViSpcSf5+6DXSL2jEEII9/f5y5BwLfQYoHckwo1IUuNOjH6gOfWOQggh3IOmtXy+9DScOQhX3t218Qi3J0mNOwmNhvJ8vaMQQgj9OR3wx1HwwU8ufCxnhyr7T+jamITbk6TGnYTEQJkkNUKIbsjphPICKM4Bhx2+fgPOZqoh2+Vnmtc9lwX+oWCK1CdW4bZkiI07CZGWGiFEN+OwQ8UZeCUFnPaW63zxClw5C2pt6vfk4bVqQIVR/i4XzUlSozenA45vhYjeap6FyrNgK4eAEL0jE0KIzlNbA3+fDifOW4CyR5JqoQF45Ct4YxJse01tTU37U9fEKTyKJDV6slfD+z9WSyIE91TzLQDk7YHEa/WNTQghOtOh1c0TmhlLYej/qH1HLRh9wGCA8fPhPz9XLTWBYWpdvJ6DYPiduoQt3JskNXpal64Smuseg+1/gtPfgKUvbPk/+NE7EBCqd4RCCNE5jn2m+hE+/IXqG2MwND7WdPLRkfeorV7aM10Xo/A4ckNST5lr4dpHYcJ8GPI/qmPchOfV7ah/3dP284UQwhNVFcO3/4ArJkFwj+YJjRCXQZIavdTWQFmuWrcE4OofQ0kOBJhh9E/gzCF94xNCiM7y8aNQWw1jn9I7EuFlJKnRS+kpQINwqzrudaVqiv3uU8japB63V+saohBCdDh7NRxeB8NngjlO72iEl5GkRi8lOaoMS1ClwQAhPcFWphIcgLy9+sQmhBCdJWeHaqUZ/bDekQgvJEmNXorrk5r4xnM1leAXBBN+rY5Lsrs+LiGE6CyaBrvehjArRA3WOxrhhWT0k15KciA4CvwCG8/ZK6GyqHH9J6N8PEIIL1CcoybQO/ixmmB04gKZOE90Cpf+VS1ZsoSUlBTMZjNms5nU1FTWrFnT8PjYsWMxGAzNtoceeqjVa957770XPGfy5MnN6hQWFjJz5kzMZjPh4eHMnj2b8vJyV0J3PzXlFw7ZHvWgmhJ851vqOMza5WEJIUSH+9csyPibSmgm/RZSH9E7IuGlXGoKiI+PZ9GiRQwYMABN01i2bBnTpk3jm2++YfBg1ZQ4Z84cnn/++YbnmEymNq87efJk3nzzzYbjgICAZo/PnDmT3Nxc1q9fj91u57777uOBBx5g+fLlroTvZgzAeSvQXvv/VCfhjfNVK03PgbpEJoQQHabiLJzeBVMXQ8xQ6DVS74iEF3MpqZk6dWqz4wULFrBkyRK2b9/ekNSYTCZiYmJcCiIgIOCizzl48CBr164lIyODq666CoBXX32Vm2++mZdeeom4OA/tPW8wNN5mqmc0wvTXYfXjMGgq+LedEAohhFs78aUq+49v3odQiE5wyTc1HQ4HK1asoKKigtTU1Ibz7777Lj169GDIkCGkp6dTWVnZ5rU2b95MVFQUSUlJPPzww5w7d67hsW3bthEeHt6Q0ACMHz8eo9HIjh07LnpNm81GaWlps82tBIapCajOZ46DO1fAiJldHpIQQnS4E19CeKIkNKJLuNwTde/evaSmplJdXU1ISAirVq0iOTkZgDvvvJPExETi4uLYs2cPTz75JJmZmbz//vsXvd7kyZO57bbb6NOnD1lZWfziF79gypQpbNu2DR8fH/Ly8oiKimoetK8vFouFvLy8i1534cKFzJ8/39W313UiekN1MVQVQVCE3tEIIUTnyNkua9mJLuNyUpOUlMTu3bspKSlh5cqV3HPPPWzZsoXk5GQeeOCBhnpDhw4lNjaWtLQ0srKy6NevX4vXu/3225s9JyUlhX79+rF582bS0tIu4S0p6enpPP744w3HpaWlWK1u1PE2orcqi05IUiOE8F4lJ2HARL2jEN2Ey7ef/P396d+/PyNHjmThwoUMGzaMxYsXt1h31KhRABw9erTd1+/bty89evRoeE5MTAwFBQXN6tTW1lJYWNhq352AgICGUVr1m1uJ6KPKomP6xiGEEJ2lNBcqzsigB9FlLnuiAKfTic1ma/Gx3bt3AxAbG9vu6508eZJz5841PCc1NZXi4mJ27tzZUGfTpk04nc6GpMmjlOZC+RnVOhNmheyL9wsSQgiPVnBAlXEj9I1DdBsuJTXp6el89tlnHD9+nL1795Kens7mzZuZOXMmWVlZ/PrXv2bnzp0cP36cjz76iFmzZjFmzBhSUlIarjFw4EBWrVoFQHl5OU888QTbt2/n+PHjbNy4kWnTptG/f38mTZoEwKBBg5g8eTJz5szhq6++4osvvmDu3Lncfvvtnjfy6Zt34eWB8MpQyN+vVqjdvwpqW04KhRDCY2kaZCxV++Ze+sYiug2XkpqCggJmzZpFUlISaWlpZGRksG7dOiZMmIC/vz8bNmxg4sSJDBw4kJ/97GfMmDGDjz/+uNk1MjMzKSkpAcDHx4c9e/bwve99jyuuuILZs2czcuRIPv/882Zz1bz77rsMHDiQtLQ0br75Zq6//nr+8pe/dMDb72Kf/06NejIY4eBHcM2DUJ4Hmf/ROzIhhOhY634BmZ+AdRT4+usdjegmDJqmaW1X83ylpaWEhYVRUlKiT/+akpPw+8Hwg2WwbyVUnIP718Dvh8LgaTDxN10fkxBCdIasTfD36TDsDpj6B0lqxGVx5ftbFt/oKvULWPYcCNFDoDBLHcemQN4+/eISQoiO5HSqhAbg6h9LQiO6lCQ1XaXstCrNsWrhSr8gdRzRWy1uKYQQ3iDzE1VGDoD4q1qvK0QHk6Smq5Tmgl8wBJjVrafgnuq8uReUnFKd6oQQwtNtWqDKH/1d3zhEtyRJTVcpy1WtNAYDVJ4FUw91PqwX1FapmYWFEMKTOZ1w5qDajxqkbyyiW5KkpqsUHGgc1lhxFoIj1X5AXacnW5k+cQkhREdZ9wtVXv1jfeMQ3ZYkNV3h1C41GmD4neq4pgL8Q9W+X91K3PYqfWITQoiOsmOJKsc/p2sYovuSpKYrbF6oOs0N/YE69gsEe4Xa9/FTZa0kNUIIL5D8fQgI1TsK0U25vKClcFHOV3DkvzBjKRh91Lkwa+MQ7+82g09A4wKXQgjhiTRNtTzHDdc7EtGNSUtNZ/vqr9DjChg8vfFceIJayLLkJGz9PYy4S1bqFkJ4tvx9arqK2GF6RyK6MUlqOltZLsQMVa01Bz9Wf83EjYCi4/DWLeAfAmnP6B2lEEJcnq/+ovoKJl6vdySiG5PbT52tulit9/SP29XxpIXgW7euVdFx+PEmCArXKTghhOgApbmw620YMFFmEBa6kqSms1UWNg7XTkiFAx+C9Wp1PPBWiB+pX2xCCNERjHVfJSk/0jcO0e3J7afOpGlQeQ7s1arPTMoP4WQGhCeqx0tP6RufEEJ0BFOk6iRcnK13JKKbk6SmM9krobYaAkLUCKf+E0BzQHm+evz0N3AuS98YhRDichmNEH81fCNLIwh9SVLTmSrPqdLST/WtCYtXic3B1Y11QmN1CU0IITpUZD8o/E7vKEQ3J0lNZ6oqVmWPAarFxlYGox5Sa6OMehjuXgX+Jl1DFEKIDhEaqxbtFUJHktR0psAwVWpOVZaegpghar/vWOg3TpewhBCiwxl9ZOST0J0kNZ0pIhF6XQXb/6SObeWNw7ntlfrFJYQQHS04CqqK1ErdQuhEhnR3tptfgK/fVLegeo2EvG/V+fAEfeMSQoiOZK8Egw+g6R2J6MYkqelsvUaqrV7ePsAAUYN0C0kIITrcsc/AOqpxjTshdCC3n7pa/n6w9AV/6VAnhPAStTa1OO+A8XpHIro5SWq6Wv4+iE7WOwohhOg4RzdCTblaJkEIHUlS09XOZEKUJDVCCC+y/hl16yl6iN6RiG5Okpqu5KiFigIIs+odiRBCdBxnrZpR2GDQOxLRzUlS05WqilRpsugbhxBCdCRTJJTl6h2FEJLUdKn6ZROCJKkRQniRHldA7rd6RyGEJDVdqn4hy5AofeMQQoiOFBoNDrveUQghSU2Xqk9qQmP0jUMIITpSWT6EROsdhRCS1HSpijNqwTeZo0YI4U3K81RrjRA6k6SmK1UWqg51QgjhTWxl4B+idxRCSFLTpc4dkZFPQgjvE5UMmWvAXqV3JKKbk6Sms2kafDgXfhMNBz6EsHi9IxJCiI41/E6oLobC7/SORHRzsqBlZzvxJXzzd7XvZ4KbX9I3HiGE6GgBZlXWVOobh+j2JKnpbAUHwOgLP94I0YPBx0/viIQQomOdOajKYOkzKPQlSU1nK8kBcy+IG653JEII0Tm++hv0vgEsffWORHRz0qems5UXyLw0QgjvVWuDkxmQPE3vSISQpKbTOezq9pMQQnijvL3gtEOvK/WORAhJajpdeAIUZ+sdhRBCuM7pVPNrtebQJ+AbCNFDuiYmIVrhUlKzZMkSUlJSMJvNmM1mUlNTWbNmTcPjY8eOxWAwNNseeuihi17Pbrfz5JNPMnToUIKDg4mLi2PWrFmcPn26Wb3evXtfcN1Fixa5+FZ1EtEbSk6CvVrvSIQQwjXrfgEv9IGsTS0/XpoL3/4DkqaAb0DXxiZEC1xKauLj41m0aBE7d+7k66+/Zty4cUybNo39+/c31JkzZw65ubkN2wsvvHDR61VWVrJr1y5+9atfsWvXLt5//30yMzP53ve+d0Hd559/vtl1f/rTn7oSun6ihwAa5O9vs6oQQrgNTYO976n93f+48HGHHf5xO2CAiQu6NDQhLsalzh5Tp05tdrxgwQKWLFnC9u3bGTx4MAAmk4mYmPZ1jA0LC2P9+vXNzr322mtcc801ZGdnk5CQ0HA+NDS03dd1KzFD1Pw0B1bBodUwYCIkpuodlRBCtO5cFlSehdA4KDh44ePZ2yB3N9y3BsJ6dXl4QrTkkvvUOBwOVqxYQUVFBampjV/S7777Lj169GDIkCGkp6dTWenaZEwlJSUYDAbCw8ObnV+0aBGRkZGMGDGCF198kdra2lavY7PZKC0tbbbpwjcABt4KX74KW19Wf9mU5ekTixBCtNehj9Ugh6tnw9nD4Kj7nVtVBM+FwbKpaoFe62h94xSiCZeH5ezdu5fU1FSqq6sJCQlh1apVJCcnA3DnnXeSmJhIXFwce/bs4cknnyQzM5P333+/Xdeurq7mySef5I477sBsNjecf/TRR7nyyiuxWCx8+eWXpKenk5uby8svv3zRay1cuJD58+e7+vY6x9RXVAtNzFD423g1w/CYJ/SOSgghWlZdCl8shhF3Q+wwcNjg40dh97vN6/UZA0YZbyLch0HTNM2VJ9TU1JCdnU1JSQkrV67kb3/7G1u2bGlIbJratGkTaWlpHD16lH79+rV6XbvdzowZMzh58iSbN29ultSc74033uDBBx+kvLycgICWO6fZbDZsNlvDcWlpKVarlZKSklav3emW/whqq2HWh/rFIIQQrdm9HD74CTy2FzQHLB52YZ17VqtZ0mWRXtHJSktLCQsLa9f3t8stNf7+/vTv3x+AkSNHkpGRweLFi3n99dcvqDtq1CiANpMau93OD3/4Q06cOMGmTZvaDHrUqFHU1tZy/PhxkpKSWqwTEBBw0YRHV7HDYOcyvaMQQoiL++ZdSEiFcKs6vulp+G6zanWuOANZn0KfG/SMUIgWXfascE6ns1mLSFO7d+8GIDY29qLPr09ojhw5wqeffkpkZNtrh+zevRuj0UhUVNQlxayriN5Qnge2cggI0TsaIYRo7lwWnNgKM5Y2nrvxCbUB9BgAidfqE5sQbXApqUlPT2fKlCkkJCRQVlbG8uXL2bx5M+vWrSMrK4vly5dz8803ExkZyZ49e5g3bx5jxowhJSWl4RoDBw5k4cKFTJ8+Hbvdzv/8z/+wa9cuVq9ejcPhIC9PdaK1WCz4+/uzbds2duzYwU033URoaCjbtm1j3rx53HXXXURERHTsT6Mr9ByoyrOZ0GukvrEIIcT53pmhyoG36BuHEJfApaSmoKCAWbNmkZubS1hYGCkpKaxbt44JEyaQk5PDhg0beOWVV6ioqMBqtTJjxgyefvrpZtfIzMykpKQEgFOnTvHRRx8BMHz48Gb1Pv30U8aOHUtAQAArVqzgueeew2az0adPH+bNm8fjjz9+GW9bRz0HgsGo5q2RpEYI4W6KjgEG8AvSOxIhXOZSUrN06dKLPma1WtmyZUub12jaL7l379601U/5yiuvZPv27e0P0t35BUFgGJSc0jsSIYS4UERvGHyb3lEIcUlkLF5X2/CcmufBRxa5FEK4oVqbWstJCA8kSU1Xy6xbK6v/eH3jEEKIltRWg6+/3lEIcUkkqelKhz5RHYRH3gdxI/SORgghLiQtNcKDSVLTVTQNVtyp9gNC9Y1FCCFaomlgr5KkRngsSWq6isOuysAwGH6nvrEIIURLHDWAJiOfhMeSpKarGIxqcbhxv4KoQXpHI4QQF7LXLUAsLTXCQ0lS01V8fNUSCd9t1jsSIYRomb1alX4mfeMQ4hJJUtOVet8Ap3aq+9ZCCOFuaqtU6SctNcIzSVLTlRJSoSwX8vboHYkQQlyovqXGV/rUCM8kSU1X6j8ewhNg6+/1jkQIIS4kLTXCw0lS05V8fOGGn8H+VXDya72jEUKI5ux1SY201AgPJUlNVxt+F8SkwH+e0DsSIYRorqGjsCQ1wjNJUtPVfHxhxN2QtxcctXpHI4QQjRpuP0lSIzyTJDV6CI4Ep73xF4gQQriDho7C0qdGeCZJavRQ/4vDKCt1CyHcSP0fWpLUCA8lSU1X+G4LbPx1YzJz5iCEJ0oTrxDCvdirwCcAjPLVIDyTNBV0NlsZ/GsWVBeDwwYTf6P600QP1jsyIYRozl4lf2wJjybpeGf7+k2oqYBrHoAvX4PD/4UTX0LidXpHJoQQzdVWS1IjPJq01HS2gx9D0hSYvAhy98DyHwAGGDRV78iEEKI5e5X0pxEeTVpqOlvBQeg1Eow+MOOvcMUUSHsGIhL1jkwIIZqTlhrh4aSlpjPZyqCmDMy91HF4Aty5Qt+YhBDiYuyV0lIjPJq01HSmsjxVhsboG4cQQrSHvRr8THpHIcQlk6SmM1WeU2VwT33jEEKI9qitksUshUeTpKYzVZeqMtCsbxxCCNEe9mq5/SQ8miQ1nUlz1u0YdA1DCCHaRToKCw8nSU1nMseqsuy0vnEIIUR7SEdh4eEkqelM5nhVlpzSNw4hhGgP6SgsPJwkNZ2pvi+NrUzfOIQQoj2ko7DwcJLUdKaGjsJh+sYhhBDtYa8GX+lTIzyXJDWdqbpYlZLUCCE8gbTUCA8nSU1nqipSZVC4rmEIIUS72KukpUZ4NElqOlPRcVWGJ+gahhBCtEnTZEi38HiS1HSmwu/A1ENuPwkh3F9ttSolqREeTBa07AiaBhufV7ebkr8H/cap87nfQs8kfWMTQoj2qKlUpSQ1woNJUtMRio7B1pfVfuZ/4PGDKtE59hlc+1N9YxNCiPawV6hS5qkRHkxuP3WEc1mq/OHbUJ4Pz1vgyz+ArbSx1UYIIdyZvUqV/sH6xiHEZZCkpiOcywKfABg4FSb8GqKSYeN8wABxI/SOTggh2lYjLTXC88ntp45w7ihY+oLRCNc9ClfPhlUPQtyVYPTROzohhGibvb5PjSQ1wnO51FKzZMkSUlJSMJvNmM1mUlNTWbNmTcPjY8eOxWAwNNseeuihVq+paRrPPPMMsbGxBAUFMX78eI4cOdKsTmFhITNnzsRsNhMeHs7s2bMpLy93JfTOVZYL5rjGY/9g+NE7cMPj+sUkhBCuqO8o7C9JjfBcLiU18fHxLFq0iJ07d/L1118zbtw4pk2bxv79+xvqzJkzh9zc3IbthRdeaPWaL7zwAn/4wx/485//zI4dOwgODmbSpElUV1c31Jk5cyb79+9n/fr1rF69ms8++4wHHnjAxbfaiaqKIChC7yhEe1UVQelpqCxUv8idDr0jEkJ/0lIjvIBLt5+mTp3a7HjBggUsWbKE7du3M3jwYABMJhMxMTHtup6mabzyyis8/fTTTJs2DYC3336b6OhoPvjgA26//XYOHjzI2rVrycjI4KqrrgLg1Vdf5eabb+all14iLi6utZfoGqWnIf4qvaMQ7VFbAy9dAY6a5ueNfuAbCL4Bakirb0DjcUN5kfNt1QdAU6/h41dX+jY59m087xcIfsHg69/lPxrRzdUnNdJRWHiwS+5T43A4eO+996ioqCA1NbXh/Lvvvss777xDTEwMU6dO5Ve/+hUmU8uZ/7Fjx8jLy2P8+PEN58LCwhg1ahTbtm3j9ttvZ9u2bYSHhzckNADjx4/HaDSyY8cOpk+f3uK1bTYbNput4bi0tPRS32rbasrBP7Tzri86jsGoEprkaTD0B1BrU5OO2asa9y8oqxuPqwqbPKe6hfpVoDkvP06jr0pu/E3qS8bPBP4hYLJASLQqgyyNZVBE3X4EBIar/l1CuKKmojHRFsJDuZzU7N27l9TUVKqrqwkJCWHVqlUkJycDcOedd5KYmEhcXBx79uzhySefJDMzk/fff7/Fa+Xl5QEQHR3d7Hx0dHTDY3l5eURFRTUP2tcXi8XSUKclCxcuZP78+a6+vUsTEAo7/gyZn6gvH7+gurJu3zdQfZnWMxjqNh913ujTZN+oyvpjgwEcdnWLxGmv269VW8O+HRy1qq7RR30hnr/5h6gvR6Nvk9do8lpojddz2OuuWaOuqzlUPc3ZwqY1369/fxgaY6+tAq3+zdftaNp5+3WPNd1v12Ot1aOFx+oSjoRUGNS85bHDOOyNSU79MFk473Or+8waPtO60l6lvlzslS2XFWch5yuVXFUWqp/t+QxGldg0JDpNkp/AMAiNhpAYCO6pWpJ8/FXLkY+/2oz1+3WtR/UJUv1nLZ3fvZO9Um49CY/nclKTlJTE7t27KSkpYeXKldxzzz1s2bKF5OTkZv1chg4dSmxsLGlpaWRlZdGvX78ODbwt6enpPP54Y0fd0tJSrFZr57zYhOfhxJd1XzyVzb+A7JXqC67pF22zpMABzib7mlMlME0ThWa3Knya38Yw+jTuQ2OS46xV16n/wqypVC1KDdd2tNyiUH/thtskfo1Jj8GnLhk7PykyNiZg9YlGfWn0rUvq6hIdaGEfGpKg+v1mj7XzOS0+v4XnJH8f+je2Dna4+p9fQBe03tmrVB+hykKV6DTdryyEqmK1X3gMqnap/YqzNMky22YwAgb1bwZUC1KgWSXKTROi+n+PTkdd8laj/v3XJ3YGY11S7aPq+wbW/QFQd5vO6Nd4vRZv1dUlWvXJV4v7daV/cN0W0li60y09Tav7+VQ1/+PEWVuX7NZt9b8HjD40fAaaU/0cHfYmf0xoF5b1r9PSYw0ljXUPfuxePyMhLoHLSY2/vz/9+/cHYOTIkWRkZLB48WJef/31C+qOGjUKgKNHj7aY1NT3vcnPzyc2NrbhfH5+PsOHD2+oU1BQ0Ox5tbW1FBYWttp3JyAggICAgIs+3qEGTe28v/o7W31CBXUtRobW6wv3Up8UmF3oW+aohYozUHlW9TFy1DRpmatrMarfr29BApUQlZyCHgOgulQlyfV1m7YiGn0bkxG/YBWfwdCYaDsd6jm1VY238OxV4Cht/prnt2o1fR1HjWoJcyU5M/o1T3QCQiEoXLVqBYap4/O3+tZNmiTzaOqPFlupShqrS6C6uDGBrC6pi9dWd0vS1ny//nalK7F3lfir9Y5AiMty2fPUOJ3OZn1Xmtq9ezdAs4SlqT59+hATE8PGjRsbkpjS0lJ27NjBww8/DEBqairFxcXs3LmTkSNHArBp0yacTmdD0iQug9GIzMHYzfj4gjlWbZ6uPtlpSMhqVAJRU9daWlNeV7awX5+UlOfD2UywlYOtTG2Oln+nXcBgVAlRfWJksqhFbH38VauHb2Bjq1T9rT7fQNUhvOFcQN0tP98mCaFf461pUO+taauo5lD16ltIG1oqzy9p4/Hz6pgsHfXJCKELl5Ka9PR0pkyZQkJCAmVlZSxfvpzNmzezbt06srKyWL58OTfffDORkZHs2bOHefPmMWbMGFJSUhquMXDgQBYuXMj06dMxGAw89thj/OY3v2HAgAH06dOHX/3qV8TFxfH9738fgEGDBjF58mTmzJnDn//8Z+x2O3PnzuX22293j5FPQgj9+NQlA3RwX5Bam0pyasrrbvlojX2K0FRrT0CoKqVTthBuw6WkpqCggFmzZpGbm0tYWBgpKSmsW7eOCRMmkJOTw4YNG3jllVeoqKjAarUyY8YMnn766WbXyMzMpKSkpOH4f//3f6moqOCBBx6guLiY66+/nrVr1xIYGNhQ591332Xu3LmkpaVhNBqZMWMGf/jDHy7zrQshxEX4BqgtOFLvSIQQLjBo2vlDRbxTaWkpYWFhlJSUYDab9Q5HCCGEEO3gyve3tJsKIYQQwitIUiOEEEIIryBJjRBCCCG8giQ1QgghhPAKktQIIYQQwitIUiOEEEIIryBJjRBCCCG8giQ1QgghhPAKktQIIYQQwitIUiOEEEIIryBJjRBCCCG8giQ1QgghhPAKLq3S7cnq1+0sLS3VORIhhBBCtFf993Z71t/uNklNWVkZAFarVedIhBBCCOGqsrIywsLCWq1j0NqT+ngBp9PJ6dOnCQ0NxWAw6B1OM6WlpVitVnJyctpcVl10Hflc3JN8Lu5LPhv35Omfi6ZplJWVERcXh9HYeq+ZbtNSYzQaiY+P1zuMVpnNZo/8B+ft5HNxT/K5uC/5bNyTJ38ubbXQ1JOOwkIIIYTwCpLUCCGEEMIrSFLjBgICAnj22WcJCAjQOxTRhHwu7kk+F/cln4176k6fS7fpKCyEEEII7yYtNUIIIYTwCpLUCCGEEMIrSFIjhBBCCK8gSY0QQgghvIIkNTrbtWsXEyZMIDw8nMjISB544AHKy8ub1cnOzuaWW27BZDIRFRXFE088QW1trU4Rdw+HDx9m2rRp9OjRA7PZzPXXX8+nn37arE5GRgZpaWmEh4cTERHBpEmT+Pbbb3WKuHtoz+cC8NZbb5GSkkJgYCBRUVE88sgjOkTbvbT3swE4d+4c8fHxGAwGiouLuzbQbqatz+Xbb7/ljjvuwGq1EhQUxKBBg1i8eLGOEV8eSWp0dPr0acaPH0///v3ZsWMHa9euZf/+/dx7770NdRwOB7fccgs1NTV8+eWXLFu2jLfeeotnnnlGv8C7gVtvvZXa2lo2bdrEzp07GTZsGLfeeit5eXkAlJeXM3nyZBISEtixYwdbt24lNDSUSZMmYbfbdY7ee7X1uQC8/PLL/PKXv+Spp55i//79bNiwgUmTJukYdffQns+m3uzZs0lJSdEhyu6nrc9l586dREVF8c4777B//35++ctfkp6ezmuvvaZz5JdIE7p5/fXXtaioKM3hcDSc27NnjwZoR44c0TRN0/7zn/9oRqNRy8vLa6izZMkSzWw2azabrctj7g7OnDmjAdpnn33WcK60tFQDtPXr12uapmkZGRkaoGVnZzfUOf+zEx2rPZ9LYWGhFhQUpG3YsEGvMLul9nw29f70pz9pN954o7Zx40YN0IqKiro42u7Dlc+lqZ/85CfaTTfd1BUhdjhpqdGRzWbD39+/2QJdQUFBAGzduhWAbdu2MXToUKKjoxvqTJo0idLSUvbv39+1AXcTkZGRJCUl8fbbb1NRUUFtbS2vv/46UVFRjBw5EoCkpCQiIyNZunQpNTU1VFVVsXTpUgYNGkTv3r31fQNeqj2fy/r163E6nZw6dYpBgwYRHx/PD3/4Q3JycnSO3ru157MBOHDgAM8//zxvv/12mwsTisvX3s/lfCUlJVgsli6MtAPpnVV1Z/v27dN8fX21F154QbPZbFphYaE2Y8YMDdB++9vfapqmaXPmzNEmTpzY7HkVFRUaoP3nP//RI+xuIScnRxs5cqRmMBg0Hx8fLTY2Vtu1a1ezOnv37tX69eunGY1GzWg0aklJSdrx48d1irh7aOtzWbhwoebn56clJSVpa9eu1bZt26alpaVpSUlJ0rLZydr6bKqrq7WUlBTt73//u6Zpmvbpp59KS00XaM/vsqa++OILzdfXV1u3bl0XRtlxJFXuBE899RQGg6HV7dChQwwePJhly5bxu9/9DpPJRExMDH369CE6Olr+iukE7f1cNE3jkUceISoqis8//5yvvvqK73//+0ydOpXc3FwAqqqqmD17Ntdddx3bt2/niy++YMiQIdxyyy1UVVXp/E49S0d+Lk6nE7vdzh/+8AcmTZrE6NGj+cc//sGRI0cu2mlVXFxHfjbp6ekMGjSIu+66S+d35fk68nNpat++fUybNo1nn32WiRMn6vDOLp8sk9AJzpw5w7lz51qt07dvX/z9/RuO8/PzCQ4OxmAwYDabWbFiBT/4wQ945pln+Oijj9i9e3dD3WPHjtG3b1927drFiBEjOutteJ32fi6ff/45EydOpKioCLPZ3PDYgAEDmD17Nk899RRLly7lF7/4Bbm5uQ0JaE1NDRERESxdupTbb7+9U9+LN+nIz+XNN9/k/vvvJycnh/j4+IY60dHR/OY3v2HOnDmd9j68UUd+NsOHD2fv3r0YDAYANE3D6XTi4+PDL3/5S+bPn9+p78WbdOTnUu/AgQPcdNNN/PjHP2bBggWdFntn89U7AG/Us2dPevbs6dJz6vvMvPHGGwQGBjJhwgQAUlNTWbBgAQUFBURFRQGq34DZbCY5ObljA/dy7f1cKisrAS5oLTMajTidzoY6RqOx4Rd0/eMGg6GhjmifjvxcrrvuOgAyMzMbkprCwkLOnj1LYmJiR4bdLXTkZ/Pvf/+7WStmRkYG999/P59//jn9+vXrwKi9X0d+LgD79+9n3Lhx3HPPPR6d0ADSp0Zvr776qrZz504tMzNTe+2117SgoCBt8eLFDY/X1tZqQ4YM0SZOnKjt3r1bW7t2rdazZ08tPT1dx6i925kzZ7TIyEjttttu03bv3q1lZmZqP//5zzU/Pz9t9+7dmqZp2sGDB7WAgADt4Ycf1g4cOKDt27dPu+uuu7SwsDDt9OnTOr8D79Sez0XTNG3atGna4MGDtS+++ELbu3evduutt2rJyclaTU2NjtF7t/Z+Nk1Jn5rO157PZe/evVrPnj21u+66S8vNzW3YCgoKdI7+0khSo7O7775bs1gsmr+/v5aSkqK9/fbbF9Q5fvy4NmXKFC0oKEjr0aOH9rOf/Uyz2+06RNt9ZGRkaBMnTtQsFosWGhqqjR49+oKO2f/973+16667TgsLC9MiIiK0cePGadu2bdMp4u6hPZ9LSUmJdv/992vh4eGaxWLRpk+f3mzovegc7flsmpKkpmu09bk8++yzGnDBlpiYqF/Ql0H61AghhBDCK8gQGyGEEEJ4BUlqhBBCCOEVJKkRQgghhFeQpEYIIYQQXkGSGiGEEEJ4BUlqhBBCCOEVJKkRQgghhFeQpEYIIYQQXkGSGiGEEEJ4BUlqhBBCCOEVJKkRQgghhFeQpEYIIYQQXuH/A/ON/rLU3A1NAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POLYGON ((-84 36.7, -83.5 35.7, -81.5 36, -81.5 36.7, -84 36.7))\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter alternate [ x0, x1 ] for the first two points [-84, -83.4]\n",
      "enter alternate [ y0, y1 ] for the first two points [36.7, 35.7]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the total proposed cutPop is 738116.0 . Compare to 767871\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the state and the last proposed cutPoly.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POLYGON ((-84 36.7, -83.4 35.7, -81.5 36, -81.5 36.7, -84 36.7))\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter alternate [ x0, x1 ] for the first two points [-84, -83.46]\n",
      "enter alternate [ y0, y1 ] for the first two points [36.7, 35.7]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the total proposed cutPop is 764633.0 . Compare to 767871\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the cut 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your cut districts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 6910840.0 we ignore 1535029.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 372 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 7 rather than original 9\n",
      "Each district will be drawn to house 767973.0 = 1/ 7 of non-cutout state pop 5375811.0 vs original= 6910840.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "working on county 80\n",
      "here is the TN map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 11\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 7\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "Working on county  80 distances\n",
      "the max LAT-scaled distance between counties is 5.16516\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 5.16516  3.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "Working on county  80 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.25 of 767973\n",
      "checking if county 47 with pop 7005.0 and 1 or 2 neighbors is less pop than 191993\n",
      "checking if county 77 with pop 65321.0 and 1 or 2 neighbors is less pop than 191993\n",
      "checking if county 78 with pop 161612.0 and 1 or 2 neighbors is less pop than 191993\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n",
      "0   [47, 22, 65, 48, 16, 26, 37]\n",
      "1   [77]\n",
      "2   [78]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 767973.0 191993\n",
      "You may suggest [ [29], [24] , [51,63] ] \n",
      "let's decide whether to delete, accept, or modify list [47, 22, 65, 48, 16, 26, 37] with pop 181940.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [47, 22, 65]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [47, 22, 65, 48, 16, 26, 37] with [47, 22, 65]\n",
      "let's decide whether to delete, accept, or modify list [77] with pop 65321.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's decide whether to delete, accept, or modify list [78] with pop 161612.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) 1\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "74593.0 [47, 22, 65]\n",
      "65321.0 [77]\n",
      "161612.0 [78]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in has1neighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in hasFewNeighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "print(\"You may suggest [ [47, 22, 65], [77 ], [78] ] \" )\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15359\n",
      "We defined a total of 16 unit (but not corner-cluster) counties in the map, excluding the cut-out districts\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in uncutCountyList:\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map, excluding the cut-out districts\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "46 fragmented VTDs out of 1965\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 46 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "WARNING. vtd frag 262 in county 18 intersected county 94 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING. vtd frag 308 in county 92 intersected county 17 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "looking for surrounds, now working on vtd 572\n",
      "WARNING. vtd frag 577 in county 21 intersected county 10 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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lJWm17QaX1qxTpsCxZi28ZWWdrjOc2PJCRKrylpWjac9uJIwYgYQrObM2RT7LlCmw/+e/sF1/XbcsJeCvqUHjzp1KK4gQgCQBkgYQyjIYkl4PIQsITxM0FiuS5t7Y6a8lhIC/pgZaqxWWa6+BY80aGDIzQ3g0ocHwQkSqatq9G5ZJ10KTkKB2KUQdIkkSLFMmw7lmLazTpoZsv/7Tp9G0Z0/bBzUaQADW6dMv+Trh8wFabUhaK33Hj8N74gR8FZXKJaRLrE2oNoYXIlKNr7ISEAJyUxPDC0UVrcUCw4CsllmeQ8G5bj2SbvgaJJ3y1iyEgOjA70Yo1/LyHj8O86RJEb84JcMLEXU74fPBuX4DdCk9YJs9S+1yiDrFOGgQXMXF8NfWQterV9CvDzid8Bw4ANnlgvD5kHjVVS3BBVBaeKRuDvVCiIgPLgDDCxGpwLF2LSyTJ0MToSMZiDrKXFCAhv/8B7bZsyFptR1+nXvLFkCSYBw6FFqrNYwVBkfS6tC4YwcSRo6Ev74eEAK6lBS1y7oAu/MTUbcSsgyN0cjgQjHDWlgIR/MEdr6qajg//xzOdesu7L/SiqTTwZidHVHBBQC8R48iYLfDsWYNvIcPo/6ddyG8XrXLugBbXoio+0n8v4lih8Zkgik3F+7t2xGor4d12jQAQNOBA3Bt3gzz1Vdf+BqbDYH6emiTkrq73Hb1uO27bTr+mkaMgL2oCJbJk6Ht4IrP3YF/QYioW3H+FopFhsxMIBAAhIB72zYAgGnoUOgzMuBYswZCltts7z1xAoYBA1SotH3n/35qTCaYhg2DL8Lme2HLCxF1K2WCrchfO4UoWIljx8K+ogiQZfiqq6FPS4MhMxNamw3OdesAKCOD9BkZEE0elavtOGN2Npzr1kF2uSJmfTGGFyLqNkKW4Vi5ConjLmxGJ4oF1umFOPPhh9D26AGkpQEAtDYbrFOmAFBG2vkqKmAtnKZilcEJOJ0IOBxql9EGwwsRdZumL7+ExmKBrkcPtUshCgtJp0OPW2659PN6PQz9+3djRV3jOXiwOWwVQmMyqV1OC158JqJuY8rPh+yMrP/giOjSvCdOwDJpUkQFF4DhhYi6UeP27UgcO1btMoiooyJ0ZGBkVkVEMadx505IGk2nZiIlIpVoInO2XfZ5IaKwa9z1FaSEBJiGDlW7FCLqIG9ZOfQZGWqXcVFseSGikBGyDPeWLfCVl7c85t62HdBIDC5EUcZz8ACMQ4aoXcZFseWFiDrMe+wYPIcPQzIYIHy+lplEhc8H54YNAIDEMWPgLi2Fvm9fuLduhcZihSmHwYUomijzMSFiF2lkeCGiDnOVbEbyLd+EJElwbdoE5/r1EIEAhM/XZqFFU24uHJ99BlNODvR9+6pcNREFq2nPHphyh6tdxiUxvBBRh/hraiAZDC3/iZnHj7/ktvo+faDv06e7SiOiEPNXVyNheOSGF/Z5IaIO0aWmQterF+QIXGGWiEJHbmyMuHldzsfwQkQdZhg4IOIWaCOi0HJv2YrEMWPULqNdDC9E1GHeY8cjdugkEYWG8PsgNfdfi1QML0TUYaIp8puTiajzvCdPwpCZqXYZl8XwQkQd4i0rhz6KFpQjouB5Dh2K2LldWmN4IaIO8Rw6GBV/1Iioc0QgAETovC7nY3ghog6RNJqInbCKiLqucds2JI4erXYZHcLwQkSXdXa2TSKKXQGnE1qbTe0yOoThhYguy3/qFCedI4ph/vp6aJOS1S6jwxheiOiyPEeOwDB4sNplEFGYNO7ciYSR+WqX0WFcHiDaCAEc/gzQGQFLOmBJA4y2qOlkRVFKCEga/q9DFLOi7Hec4SXaVOwA3r6p7WM6E2BOU4KMtTdg6wvYMlrdN990RlVKJiKiyNW0dy9MOTlqlxEUhpdoU39Muf/hZ4C/CXBVA85qwFml3ByVwLH1gL0caGpo+1pz6rlQY+2jBB1LunKzNt+b0wAtfyzoHNnjiZzZNmUZkP2ALkLqIYoBvopKmIYNU7uMoPBdKto0lAP6RKDv6MtfKvI4AUeFEmQaygH7KeVj+yng5GYl7LhqALQeSSIBiT3bBhprb8DSu/nz3srn1t6APiGcR0oRwrN3b2T8Yas5gKbffQNwNcD01CYliBNRl0TUPydBYHiJNvZypeWkI31cjBbAOATo1c7EYgE/4K5VWmyc1YCzEnA0t+I4K4HTh4HjXyiPBTzn7T9JCTSXCjdnW3WMVvbJiWIBux3apCS1y4D/gx+j6WgttAkBGNf/DtL1S9QuiSjquUu3IPGqsWqXETSGl2jTUAYk9Q3d/rS6c2GjPUIATWeag02lEnYclecuVdnLgfItyvM+V9vX6hNbteC0c5+QAkRRhzHqXrp+2dAaS2C+8ftw/ecdWCY9dPmfWyJql/B6oDFGX39Ihpdo01AGpOd2/9eVJCChh3JLu6L9bT2OtiHnbMA5e1+zT/m4sb7t6zR6pdPx5YKOORXQ6sN3rBR57BUIVB6CZE2BZurj0Hz+Mbx/+hYMD60A9FwokqgzPIcOwTBwoNpldArDS7SxlwNDZqpdRfuMVuXWK7v97fye5kBziaBTvvVcvxwht3phc7+cy7XksF9Ol/kqK6FLT+/+L+yug+9vd8F37CCE0EDUnYKQdLDc9xJg7onERe/C+eyNwNKbYLj7feUSKREFxXvsGKzTp6tdRqcwvEQTv1fplxLKy0Zq0hmB5P7KrT1yQAkwF/TLaQ48tQeAo+uVzwPetq812jp2ycqUFHy/nBMlwJpnlWA1cBIw+bHgXt8ZHgfw3m3Kx4k9lduV3wT6XR2eL3foMMwF40O7U1k+15/Kfgq44jol7DoqgYovISp2oOnTZRCuBhinfBOS7IVmwFgg5zogIVnZR98xsDy6DK6XboP4zfUwPvQvwBQd05oTRYKm/fthzL7MP5gRjOElmjhOARBAUqbalXQvjbbj/XIa6y+8THX23lGpzJPjqAK8jrav1ZmaL1m17nicDlgz2s6VY7QCG38HHCgCGk4qQ9d7DQW+fL97wkv5NuDIWmDobCXI7fsP4HWfCy8VO5Vt+hcAqTld6yjtcUBe/SICR5OgTU6BlJikhEGTrfm+9edW5WODRem3JIRyvusOA6cPQ9Qehv/YPniPHYVoqGgJmX63Fqae98Ev9wQ8Z5SBbwYzDEOGwfDgMiB16KXrG3gtzI8vh+v5m4Df3gjj/f8AzD07f7xEcUIIAe/x47DNjPBW/HYwvESThjLl3hZn4aWjJAlITFFuaZcZ2ut1XTzgnL0//YVy31jX9nVGG+CxKx8PvwkY+wPAfRrY8X9A9T4l8JiSwze6qmY/oDUAt76jdLZ+fnDblquNvwN2/V35OLGnEmKyJgJZE4DeVypBsKMaypDoXgNfqQ4e8wAIj1sJSj432g6vP4/erMzF0jI6TQIsvaDP6IeEqydA03sokDIYSBmEwPo/Qq45AePgPEgZI4E+eUByVsfPX9/RMD/2D7hfvBWNv5qChPveAPqO6fgxEsUhd0kJzOPGqV1GlzC8RJOGcuU+Vi4bqclgBnoOVm7t8TUpc+U4KprnyTkFnDkBXHE9MHiqsk3lLmDTH4E/NP8x0JmaW4r6NF+a6nPuc2urzzuzrEPNPqDnECW4eBzKMPeUVh3uDBYgdRgwewlwohg4vhFY/XNlQkOjDfjWO8olrsupOwp8vBA6ix66x4rbnichAK8TaLIrQe7sfeuPJS2QMkh5XY8Bl5zdWXvTrxFEnLq4vmOQ+LPV8PzxO7A//TVYv7MI0uQfBxfUiOKE3NgI4fVGxPQHXcHwEk3sZcp/9Qaz2pXED71JCQcp7fTI730l8PBXSh+OlmHkFcrlKUcFUL1Xecxz3ozHLUPILxFuzoaf1vPk1OxXLgcBSsAAgB6taktIBvyNSrA6G678HiXIvDX3XAAGlHo3vKRcauqTB6RfqdRfdwTY/4ky2/IPVlwY8CTpXKdsREiQ7pEF46NroP/0WTj+9hJM21bCsOCv7X/fiOKQa+NGWKZMUbuMLmN4iSYN5UBSP7WroIuxNK8t1R6vu+0cOS0hp1J5vOqr5pBjb/s6vflcn59T24GJi5TH7c1B5O1vADmzgan/o1y6SujR9vU6o9L6ASjh6KzldwP1x4HB04BjG4Cd7ymBKbkfMGUxMO7u6ArKOgM0s38O27BZaPzTXXAsvhaWb/wQ0tV3KMcEKJ2/Tx8GqnZBlO+E/+heiIAfGlsP6AbmAWm5yiXHpExOrEgxx1dZCV1qKiRt9LdKMrxEk1BPUEfdy5CoXEpJGdT+dmf745wNN86qcyFHZwJy5ijbZU0EZj6rPLfr78CX7ymP3/Dyhft0VCr31j7K/cFVQFkpcOvbwLAbQnN8kSJrAhKe2gR59XNwffQ6xN+XQrKkKH2F3KeVUXsSIJl7Qpc5ENAZ4Dt2CE2bVgO+RmUf+kToMgfCOHwMpLRsZS0lrVHZh86g3GsNSjAM+JTvmb8J6JkN9Mln8KGI1Pjll1HdSbc1SQjRTs+76GG325GUlISGhgbYbDE6ZPKV8cDAa4HrXlC7Eoo0TXblUk9SXyXUnP/mufffwHvfBUZ+F4AE7HgbGHAtcPs/Y3tWY48D2PsvoP4YhNcFydoH6D1CuUR2/sgkIZQRZNV7Iap2w39wO7z7dkE4agDZ16Ev52/SQJ/WC4lzboN0zQPR1XJFMa1x925ok5JgyIy8AR+def9my0u0EAI4cxxIvk3tSigSmWxA/q2Xfn7gtcDEh4Ddy5XVxq9/ERizILaDC6D0yxn5HQDAZdtCJKll3iFp6CzorwVa5nEWQrnkFPAofYgCvuaPvUrnaYNFmfX51HYESpfBsez3MHz6Jkzf+gVw5c1siSFVCVmG79QpJAwfrnYpIcOWl2jhrAb+d4gyRHbY19SuhqKVEMot1kOL2uqPwfPOj+DduR7a5FSYCqZCM3A80HesMi8Qzz91I+eGL5AwciS0lshsCWTLSyyrP67c98hStw6KbpLEVoDu0GMAjAv/AeOJTQhsWYbG0g0QK/4OQAD6BGgyhsA0qgCawROVUWGXGEpO1FUBp7JQbqQGl85ieIkW9ceU+2SGF6Ko0X88tP3Hw3wTlH5Jp7YD5VsQOFiCxk/fg/joT9BYk5Cw4HlII+apXS3FIFfxRlgLC9UuI+QYXqLFmWNAQgrXbyGKViYbMGgyMGgytNcCZiEw5ZpxyEs8g1/++h4kXvN36L73KhcTpZDxlpVBn5EBKQYvUwZ1REuXLkVeXh5sNhtsNhsKCgrwySeftNmmuLgY06ZNg9lshs1mw6RJk9DY2NilfRKUlpezc3UQUfSTJHz4rxV49h9bYHv4Fbi/+Az46kO1q6IY0rRnT0x10m0tqPCSmZmJ5557Dlu3bsWWLVswbdo0zJ07F7t37wagBJfZs2dj5syZ2Lx5M0pLS7Fw4UJo2kl9l9snNas/zv4uRDEmJSUFVpsNuPJmaNIGQBxeq3ZJFCMad+5EQl6e2mWEj+iiHj16iL/+9a9CCCHGjRsnfvrTn3Z1l2322VENDQ0CgGhoaOjy149IL40QYuWTaldBRCE0efJk8dBDDwkhhPjdXTPE4GS9MBqNIi0tTXzjG99o2a6pqUk88MADIjU1VRiNRjFx4kSxefNmlaqmSCf7/cK+apXaZXRYZ96/O30hLBAIYNmyZXC5XCgoKEB1dTVKSkqQlpaGCRMmID09HZMnT8aGDRs6vc/2eDwe2O32NreYFfAps+vyshFRTNqyZQsWvfoZ/ic/Afve+QlWrFiBSZPOLaD52GOP4R//+AfefPNNbNu2DdnZ2Zg1axbq6ura2SvFK9cXX8A8caLaZYRV0OFl165dsFgsMBqNuOeee7B8+XLk5ubiyJEjAICnn34ad955J1asWIHRo0ejsLAQBw8e7NQ+27NkyRIkJSW13Pr1i+E1fxpOAkJmeCGKUSdOnIDZbMacgXpkHngfo0aNwoMPPggAcLlcWLp0KV544QXMmTMHubm5+Mtf/oKEhAS8+uqrKldOkSZgt0PS66FJiO2O30GHl5ycHOzYsQMlJSW49957MX/+fOzZsweyLAMA7r77bixYsACjRo3CSy+9hJycHLz22mud2md7Fi9ejIaGhpbbyZMngz2U6NEyx8sAVcsgovCYUViIrN4puHJZHRZsSsM777wDt9sNADh8+DB8Ph8mtvpPWq/X4+qrr8bevXvVKpkilGvTJiSOH692GWEXdHgxGAzIzs7GmDFjsGTJEuTn5+Pll19Gnz7Kgm/nt5gMGzYMJ06c6NQ+22M0GltGKJ29xaz6Y4CkUVa6JaKYIs6cgOaZiVh3rRNvfTMbfQYPx5NPPon8/HycOXMGFWeU0ZrffW0lPtxWpnK1FMm8x47BkJUFKQ4mouzy4G9ZluHxeDBgwABkZGRg//79bZ4/cOAAsrKCGyVzdp/UrP6YEly0+stuSkTRRZTthkZyI/lnH+O6N/fj/734Mhb/5V84dOQoChYtwV3/2gdJJ+FY5TN44rNf4+VPD8Dn86G0tPSyl9cpvjQdOABTTo7aZXSLoCapW7x4MebMmYP+/fvD4XDg3Xffxdq1a1FUVARJkvDoo4/iqaeeQn5+PkaOHIk333wT+/btwwcffNCyj8LCQsybNw8LFy687D6p2ZnjvGREFI0CPuBkCWCvAPyNQPYMwNan7Ta+Rvy30oryj7egYIIJf9lcgY9WvwCIAHxDlsPa5zP0mJKOqvdq0feOD/FimQdr/3IGbrcbd9xxhzrHRRHHvX07EvJHql1GtwkqvFRXV+P2229HRUUFkpKSkJeXh6KiIsyYMQMAsGjRIjQ1NeHhhx9GXV0d8vPzsWrVKgwePLhlH4cPH0ZtbW2H90lQWl7SR6hdBREFq/SvaPjTz6E1yIAAYLLCPPf7gByA/9heBA6Xwp8kkH7PI3j+93/HI0/8BHLADUO6Ab2/OwfahP6QtF8g9YaRgNiGsr+UQW78M1JHj0VRURF69Oih8gFSJBCBAAJ1dUgcNUrtUroNV5WOBv9vAFCwEJj0Y7UrIaIgBJbdBc+enUj8yWrA34TABw+icdsWQKOHrk8GjMPHQBr+NVT0GIMJL3wEy5BftbxW9tmg0StTQAh/InyOK9FfmodnbhiP8YN6qnVIFIGc69cjcezYqB1hxFWlY1FTA9BYz8tGRFHIe2AvjEOHA0YLYLRAO/9dWOZfuN2Nz34KQ8rnLZ/7XYMRaMyE8GSiv/kK5KVnYdLoVNyY3xdaTex3xqSOC9jtkHS6qA0uncXwEuk4TJooOgmBQPVJaKd+/bKbfnjvBFz7vw3wnhkPs5SORwpzkJeZhBF9k2A28s80XZpr0yZY47CbBX8rIl39MeWe4YUourhPI+Bsgvtfr0O7bS10vftAk9IHkrU3YEkDLOnKzZyKfj2S8OWTN6Le5UVWT7PalVOU8Bw+DOOgQXExNPp8DC+R7sxxQG8GEnmNmyiqJKQg6a6fQK44AH9VBTz79kJu+EK5FBzwnttOAL5GLcx9dcha0v6cWERnCSHgOXwYtpkz1S5FFQwvka7+mNLqEofJmiiqaTTAhAegAWBovgEAhAA8DuDoOrh/twCyX4KlTxN013LYM3Wcc81amONgJt1LYXiJdGfDCxHFBkkCTDYEdq0AzL1g+UUxkJCsdlUUJQJnzsC1aRMSRo2GNtZG1gaB4SXSnTkJuGuB3cuB4fPUroaIQsR74CsYhgxlcKEOc2/ZAuHzwTprVlz2c2mty8sDUJhNWAj4moCyLWpXQkQhZCq8Fa6NJfC/+m3A7738Cyhu+evrYf/kExiysmAuKIj74AIwvES+Ud8DIABbhtqVEFEISePvQdLCJXBvXANR+rra5VCEcm3eDM/+/bDOng1daqra5UQMhpdI19QA+NyAtbfalRBRKEkSMHYBLIVz4P74j2pX065169bhhhtuQEZGBiRJwkcffdTmeSEEnnzySfTp0wcJCQmYPn06Dh48qE6xMcS5fj2MgwbBPH48W1vOw/ASyZoagO1vKx9b2fJCFIuklL4QjS61y2iXy+VCfn4+XnnllYs+//zzz+O3v/0t/vjHP6KkpARmsxmzZs1CU1NTN1caO3ynTkFrs0HXq5fapUQkdtiNZFvfAFY9qczz0jNb7WqIKNSOb4Rz+eswz/m22pW0a86cOZgzZ85FnxNC4De/+Q1++tOfYu7cuQCAt956C+np6fjoo4/wrW99qztLjQlCCDR++SVss2erXUrEYstLJKs7AvS+EnjiBGDhtU6imCEExOa/wvHszTAOGw7N9b9Uu6JOO3r0KCorKzF9+vSWx5KSkjBu3DgUFxerWFn0cm3cCPOECWqXEdHY8hLJzpxQ5njR8ttEFPV8TcDBlRA1B+Hb+Tkat5fA8rVvQTv3BUBnuPzrI1RlZSUAID09vc3j6enpLc9Rx/lraqAxGOJ6DpeO4LtiJKs/DuRcvKmWiKJEUwNQ+iqa/rsUvtoGSEYz9JmZSPrRH4AR31C7Ooow7q1bebmoAxheIpUsAw0ngeQstSshos6o3AW55G9wr3ofwuuDccJ1sP7oMaDXELUrC6nevZWRkFVVVejTp0/L41VVVRg5cqRKVUUn1+bNSBw7Vu0yogLDS6RyViqLt/VgeCGKGkJAfPl3NP3jRfgrjkJjscJ8/W2QrlkYs9MdDBw4EL1798bq1atbwordbkdJSQnuvfdedYuLIoEzZwC/n6OLOojhJVLVH1fuk/urWwcRdUzNAfj+70E07tyOxHETkfDdnwPZhYBWr3ZlXeZ0OnHo0KGWz48ePYodO3YgJSUF/fv3x6JFi/DLX/4SQ4YMwcCBA/Gzn/0MGRkZ+PrXv65e0VHGtWkTrLNmqV1G1GB4iVRnGF6IIl7AD5RthrzzI7j+9TZ0aT1he+IdYMj0y782imzZsgVTp05t+fyRRx4BAMyfPx9vvPEGHnvsMbhcLtx11104c+YMrrnmGqxYsQImk0mtkqOKe/t2JOTncyK6IEhCCKF2EaFgt9uRlJSEhoYG2GKhl/bnzwOb/ww8eujy2xJRtxPb3ob7b7+A7DoDyWCC+ab7IF37EKBPULs0iiIBpwuN27bCMmmS2qWopjPv32x5iVT1x9nqQhSpGuvh+usTSLh6IrTTHwN6jwB0RrWroijk2rAB1pkz1C4j6jC8RKozxznSiCgS+ZogPnsOstcH7XVPA2nD1K6IolTjV7thyh0GScP5YoPF8BKpzhwH+o5RuwoiOkuWIba/Dfc7SyA7zsDy3UcZXKjTZI8H/uoqJIwYrnYpUYnhJRIF/EBDOYdJE0WKJjt8f/shGos/h3nqDGiv+znQc7DaVVEUc37+OazTpqldRtRieIlE9jJABNjnhSgS1B5E0+9vRaCuDrbH3+Cs19RlnsOHYRw4EJKOb8GdxQttkchRpdxb+7S/HRGFV8VOuJ6dBUCC+clPGVyoy4QsK+FlSGzNtNzdGPvUdnQ9sPoXgDlVmYHT2gcIeJTnnNVAOq+HEqni9GG4X5gHfe8MGB74J5CYonZFFANcX3wBy8SJapcR9Rhe1Lb7Q6BsM5A9Azi5GXBUAO5a5TkdJ3giUov33QchJVhhePBfQEKP9jf2NQIHVwJ1R5R/RIbMAiyp3VMoRQ3h9wOyDI3ZrHYpUY/hRW2HPwPybgVu+vO5x/xewOMAzD3Vq4sonvk98O7eBssPftF+cGmsh1j3G7j++QaErxGSwQz43BDyj5E482Zo5/0a0Bm6r26KaO4tW7nwYogwvKgt4LtwPhedAdAxuBCppqkBwi8D1Xsu/rzXBVG8FO5//B6yNwDzjbdDM+4HyggkVy3Ejv+D4/UlMGt10N70m24tnSKX7Haz1SVEGF7UptEBsk/tKoioNXMqEq6dA/vyd2E6chCGsbOAvmOBrAJgzz/h/suDCDi9SJx9K7QznwCs6a1e2wvS4CnQGX4B13/+D7avPQsY+IYV73xVVdCl8lJiqDC8qM3cCzi+EZADgEardjVEBACSBN3tr8M2+h/w/Oe3cL61BLIvgIScwXDvPYLECZOQePMLl56LqbEefo8GloIxDC4EAGjavQeWqVPULiNmcKi02mY8o3TUfX0OUPmV2tUQ0VmSBFx5M4xPrINlaTlsD/0OfmGB7bYHob9jWfuTSA64FtabFsCxYRtE8dLuq5kikpBlQAJXjQ4htryobcBE4Ka/AB/+EDi6TlngjYgiiyQBebcgIe+WDm8vXbcEVgE4/vI0rEYrpNG3hbdGiliNO3YgYeRItcuIKWx5iQRDZyn3ieykSxQzJAma65fAPO06uN54CvA41a6IVBI40wBdj8sMt6egMLxEgtMHlftenHGRKKZIErTXPw34vQgs/7Ha1ZAKAmfOQJucpHYZMYfhJRJU71PuU3PUrYOIQq9HFsy3PQ73Zx+eW/qD4oabl4zCguElEtTsVeZ64agEopgkSRpIWgMvDccZIQQgC0gavtWGGs+o2gJ+4PAaIJ0ddYliVeDIVmjSswAtx0jEk6Y9e2Aanqt2GTGJ4UVtG19WZvGc9CO1KyGicAj40Vi6AQlXXat2JdTN/FXV0KenX35DChrDi5qq9wJrnwMmPAj0HaN2NUTUGfXHgBMlgBAXPuf3QP7njyA7GyCN/k63l0bqkV0uaBK4uG64sA1TLQE/8PH9QI8BwJTFaldDRJ0gvloO1+8XQgR80A/Jh+nmnyjLCPjcEF/8Hu5P/4HAmXpYf/gLoE+e2uVSN3Jv3QpzQYHaZcQshhe1FP8eOLUd+MFKQM90ThR1jqyF4zf3wTx5BrRjbob3w5/DseQWSM3t2UIywjz9BmiuXQiks99DvBH+ACS9Xu0yYhbDixpqDgBrfgWMvw/od5Xa1RBRsDwOuP9wFxJGjYH2O68BWh0MV3wNhqpdQM1+QGsA+l0N2DLUrpRUILvdvGQUZgwv3U0OAB/fByT3A6b9VO1qiKgzdvwfAmcakPjdpedGEGk0QJ985UZxTZOYCLmxUe0yYho77Ha3Nb8CyrYAc18B9AlqV0NEwWqsh6foj9D3Tlf+CSG6CI3FgoDdrnYZMYvhpTsd/BRY/79AyiCg/3i1qyGiYPk98P3xJvhqz8D04HtqV0MRLHHMGLi3blW7jJjF8NJd5ACw5lnl4ztWqVsLEXWK2PQnNH61D5bH3gfShqldDkUwSasFhFBm2aWQY3jpLpv+oIwuWrACMHOKcKKoE/DB/feXYZnzDSBzrNrVUBRIyMtD086dapcRkxheukPNfmD1M0DB/UAWx/0TRaWj6yC7HdBMvFPtSihCCVlu87nGaoW/tlalamIbRxuFW8APfHQvkNyfo4uIopi862NoktOA3pxsji4khED5ooehS02FccgQWKZMhrt0C2xzZqtdWkxieAm3jb9tNRkdRxcRRSvf0X3QZ18JSJLapVAEkiQJmb99GUIINCz/CIH6epgLxkPS8W02HHhWw6lqD7B2ibJ2ESejI4pqvrJymCcMVj5pagDKtyq/472vBAZOYqghAEqI0fVMgWkYO3SHE8NLuAR8yuWilEFcu4goBphGXgX7J/+E9ou1gOu08qBGB9kXgHnqHGhveQUwmFWtkdQnhICvohJCliFp2K00XBhewmXDb4DKXcAPV3HtIqIYoLvlt7D1/R0g+yClDQMyRgE9syF2fQDXn34Mw4mpMNz3gdK/jeKWJEmwzpwB18ZiWK6ZqHY5MUsSMTII3W63IykpCQ0NDbDZbOoWU7kL+PNUYOJDQOHP1K2FiMKvag8af3MLIHxIePS/QM/BaldEKmo6cABamw363r3VLiUqdOb9O6g2raVLlyIvLw82mw02mw0FBQX45JNP2mxTXFyMadOmwWw2w2azYdKkSWhsZ42HJUuW4KqrroLVakVaWhq+/vWvY//+/cGUFVn8XuVyUa+hwOTH1K6GiLpDei4S/mc1hGSC5y+3A45KtSsiFfmrqqBLT1e7jJgWVHjJzMzEc889h61bt2LLli2YNm0a5s6di927dwNQgsvs2bMxc+ZMbN68GaWlpVi4cCE07Vz3+/zzz3H//fdj06ZNWLVqFXw+H2bOnAmXy9W1I1PL+heB6r3A1/8A6IxqV0NE3cWajsQH3oRcWwXnE+MgvlqudkWkIokduMOqy5eNUlJS8MILL+COO+7A+PHjMWPGDDzzzDOd3l9NTQ3S0tLw+eefY9KkSR1+XURcNjq1A/hrIXDtj4Gp7KRLFJca6xFYdg8atxTD8qtiIKmv2hVRN3OuXw/LtdeqXUbUCPtlo9YCgQCWLVsGl8uFgoICVFdXo6SkBGlpaZgwYQLS09MxefJkbNiwIaj9NjQ0AFBCUVTxe4CP7lPWO7n2R2pXQ0RqSegB7bf/DMlgQqDoV2pXQ90sRrqRRrygw8uuXbtgsVhgNBpxzz33YPny5cjNzcWRI0cAAE8//TTuvPNOrFixAqNHj0ZhYSEOHjzYoX3LsoxFixZh4sSJGDFiRLvbejwe2O32NjdVff7/gNoDwNeXAjqDurUQkbpMSdD1G4hAbZXalVA381dWsqNuNwg6vOTk5GDHjh0oKSnBvffei/nz52PPnj2Qm9d0uPvuu7FgwQKMGjUKL730EnJycvDaa691aN/3338/vvrqKyxbtuyy2y5ZsgRJSUktt379+gV7KKFTvhXY8BIw+XFlwioiimvi2EY07doF/chCtUuhbuY5cgSGgQPVLiPmBR1eDAYDsrOzMWbMGCxZsgT5+fl4+eWX0adPHwBAbm5um+2HDRuGEydOXHa/CxcuxL///W+sWbMGmZmZl91+8eLFaGhoaLmdPHky2EMJDV8TsPxeZb2Tax5WpwYiiiju390By7h8SON+qHYp1N1kmUsCdIMun2FZluHxeDBgwABkZGRcMMz5wIEDmDNnziVfL4TAAw88gOXLl2Pt2rUY2MHEajQaYTRGwGietb8C6o8Cd68DtPyBJSJANLmhzbsO0OrVLoUoJgX1brt48WLMmTMH/fv3h8PhwLvvvou1a9eiqKgIkiTh0UcfxVNPPYX8/HyMHDkSb775Jvbt24cPPvigZR+FhYWYN28eFi5cCEC5VPTuu+/i448/htVqRWWlMj9CUlISEhIifCHDk5uBjb8DCp9UOuoSEQHQpKTDf6AYugkPAO46wOtSFmZN6AFotGqXRxT1ggov1dXVuP3221FRUYGkpCTk5eWhqKgIM2bMAAAsWrQITU1NePjhh1FXV4f8/HysWrUKgwefm23y8OHDqK2tbfl86dKlAIApU6a0+Vqvv/46vv/973fysLqBr1GZjC5jNFDwgNrVEFEESZh7Hxx/eByajemA1Gr0iaSF1GsATGMmQjtsKpBzHRd0jCEBux0ai0XtMuIClwforKKfAJv/AtyzAUgdGv6vR0TRQwhg77+Aip1A+nDAlKT8w+OogHzoCzTt2gZ/VRXMc26F9pu/VbtaChH31q0w5lwBrYULdAajM+/f7KTRGceLgeJXgJnPMLgQ0YUkCci9UbmdR3P1nUgEINa9CMebL8BWcDuQObb7a6SQk91uBpduwvW6g+V1AR/fB/S7Ghh/n9rVEFGUkiY+CNPQbDT+6U6gSeV5qig0YuNCRlRgeAnW6l8A9gpg7h/Y8Y6IOk+rh+GONyDb6+H9822AHFC7IqKowfASjGMbgJI/AtOfAnplq10NEUW7XtkwP/AqPLtKIf/3Z2pXQ10gvF5Ieg6N7y4MLx3lcSprF/WfAFx9t9rVEFGsyC6E5buPwLn8deDYF2pXQ53kOXIEhlYjaym8GF46atWTgKsG+PorgIanjYhCR7rmIZhGXInGP9+ljEqiqOOvqYEuNVXtMuIG34U74vAaYMurwIxfACmD1K6GiGKNzgDD7Uvhr6mHWP+y2tVQZwgBiXP2dBuGl8tpPAP88wFg4CRg7B1qV0NEsarnYJhvuA2uD/+kjGokoktieLmcra8DDSeBG37Ly0VEFFaaa++D8LqAA0Vql0JBEEJwpuRuxnfjy8m6RrmvP6ZqGUQU4+qPQy56FsIvAVqD2tVQEHzlp6Dv21ftMuIKw8vlZI4FeuUA2/+mdiVEFIvOnEDg/fvgeHw83JvWwnrPEuCK69WuioLgPXYMhqwstcuIK1we4HIkCRj9PWD1M8rqsIkpaldERNHs1A6gZh9E7SH49myC56tt0CQkwHL745CuvhMwcHr5qCMHIGk5aWl3YnjpiLxbgU+fBnZ9AIy7S+1qiCgaCQFR+iqcf/kJJEkACUnQDxgG6/d/AoyeDxi5GjFRRzG8dIQlDRg6W7l0xPBCRMGo3AVx6DN4Pv8Q3sP7YL7uVmjn/j9An6B2ZURRi+Glo0Z9D/i/W5Ul7vvkq10NEUU6WYZc9DScH/wJGqMextw82P7nHWBwIUemxJDAmTPQJiWpXUbcYXjpqOzpgCUd2P42wwsRXZZY8VM43n8NtgWPQrrmIUDLdW9ikefgQZhGjFC7jLjD0UYdpdUB+d8Gvnwf8HvUroaIItn+T2D/+6uw3fkkpMk/ZnCJYXJTEzQJvATY3RhegpH/baDpDHBwpdqVEFEEa/rHs0jIGwlp4n1ql0LhJoTaFcQlhpdgpF2hXDL68j21KyGiSHX6MHxHD8Awi8GFKFwYXoKVd6sydXdjvdqVEFEkclYp/XF7DlG7Egoz4fcDnN9FFQwvwRpxMyD7gd0fqV0JEUWi9OGARg95y9tqV0Jh5isvhyEzU+0y4hLDS7Cs6cCgqUrHXSKi85mSYP7WI3B++BpwdL3a1VAYecvKuKaRShheOiPvVuDERqD+uNqVEFEEkiYtQkJePly/XcBFXWOZLEPSccYRNTC8dMYV1wP6RGAXW1+I6CI0Wuh/+C601kS4npkNUfRToGq32lURxQyGl84wWoBhNyiXjjhMjoguxtwTph+vgDHvKtT++Q2InfxnhyhUGF46K+8WoPYAULFD7UqIKFLZMqC77a9I6OWD1HOQ2tVQCAn+46oqhpfOGjgFMKex4y4Rta/+GAAB9MxWuxIKoUBdHbQpKWqXEbcYXjpLqwOuvBnY9QEQ8KtdDRFFqtOHlHuGl5jiPXoUxoED1S4jbjG8dEXerYCrGjiyVu1KiChS1R4EdAmAJU3tSiiE5MZGaBIT1S4jbjG8dEWffKBXDpcLIKJLCpzaB03PDCjT7hJRKDC8dIUkKR139/0b8DjVroaIIpD30AEYBnOpAKJQYnjpqiu/CfjcSoAhIjpPoPIEtP2uULsMopjC8NJVPbKA/hN46YiILuSuAzx2SGk5aldCISS73dCYTGqXEdcYXkIh/1al066jUu1KiCiS1B5U7nsxvMQS77FjMHCkkaoYXkIhdy6g0SnDpomIzqrdr9z3HKxuHRRS/tOnoe3ZU+0y4hrDSygk9ACGzgKKfw/4PWpXQ0QRQtTsByzpgD5B7VIoxCSOHlMVw0uo5H0LcFQADWVqV0JEESJwbA90GVlql0EUcxheQqVX81BI9nshombeI4dhGDJc7TKIYg7DS6gkZwGS5txU4EQU33xNkBuqoOmbq3YlFEIiEAA0fOtUG78DoaI3ASmDgOq9aldCRJGg7jAgBNBrqNqVUAj5yspgyMxUu4y4x/ASSmnDgOo9aldBRJGgpnmkUSqHSccSb1kZ9H37ql1G3GN4CaXUYWx5ISJF7UHAaAUSU9SuhEJIeL2QdDq1y4h7DC+hlDZMWWXadVrtSohIZaJqP6TkfmqXQSHk3rYd+vR0tcsgMLyEVtow5b6GrS9E8c53ZC/0A7LVLoNCxLVxI7TJyTDlsgN2JGB4CaWe2YBGD1Sx3wtRXJNleE+ehD4nX+1KqIuELMO+ahUMgwbBOIhLAkQKXrgLJa1eGVlQvVvtSohITQ0ngYAXUhpXk45msssFx5q1sE6bCk1iotrlUCsML6GWPpwtL0TxrmVBRg6Tjla+8nI07d0L23VzIHFel4jD70iopecqw6VlWe1KiEgttfsBrQFIYofdaNS4ezd8p07BOn06g0uE4ncl1NJHAF4n0HBC7UqISCWiah+QlMGZWKOQ84svoDEakXjVVWqXQu3gb1aopTX3ROelI6K45T24F4ZBHGkUTYTfD/snn8CUkwNjNr93kY7hJdRsGYApGahip12ieOU7eQz6wXlql0EdFGhogH1FESyFhdD16qV2OdQB7LAbapKkdNrliCOi+OSuA5rskNLYWTcaeI8dg+fYMdiuvw6SJKldDnUQw0s4pA8HjqxVuwoiUkPtAeWeI40iXuOOHQAA65QpqtZBweNlo3BIywVOHwJ8TWpXQkTdrWa/0gLbk/0mIpUQAo41a6Dt0QMJI0eqXQ51AsNLOKSPAIQM1OxTuxIi6maiah9gTQf0JrVLoYuQvV7Y//NfJI4eDUNWltrlUCcxvITD2Vk1qzniiCjeiCYHNIlWtcugi/DX1sL52WewzZ4FbVKS2uVQF7DPSzgYrUByFkccEcUjWVYuG1FE8Rw8CF91NWyzZ6tdCoVAUC0vS5cuRV5eHmw2G2w2GwoKCvDJJ5+02aa4uBjTpk2D2WyGzWbDpEmT0NjYeMl9rlu3DjfccAMyMjIgSRI++uijTh1IxEkfwfBCFIeEHODkdBHGXVoK2euFZeJEtUuhEAnqNywzMxPPPfcctm7dii1btmDatGmYO3cudu9W3qSLi4sxe/ZszJw5E5s3b0ZpaSkWLlwITTu/yC6XC/n5+XjllVe6diSR5uwyAUQUX2TBKeUjxNkVofV9+yJh+HC1y6EQCuqy0Q033NDm82effRZLly7Fpk2bMHz4cDz88MN48MEH8cQTT7Rsk5OT0+4+58yZgzlz5gRTRnRIHw44qwBXLWDmpEdEccPvZ8tLBJDdbjhWf6asCG02q10OhVinf8MCgQCWLVsGl8uFgoICVFdXo6SkBGlpaZgwYQLS09MxefJkbNiwIZT1tvB4PLDb7W1uESWtOeXz0hFRXBGyzPCiMl9FBZxffAHb9dcxuMSooH/Ddu3aBYvFAqPRiHvuuQfLly9Hbm4ujhw5AgB4+umnceedd2LFihUYPXo0CgsLcfDgwZAXvmTJEiQlJbXc+vWLsNVbUwYBOhMvHRHFGznAy0Yqatq7F96TJ2GbMYPfhxgW9Hc2JycHO3bsQElJCe69917Mnz8fe/bsgSzLAIC7774bCxYswKhRo/DSSy8hJycHr732WsgLX7x4MRoaGlpuJ0+eDPnX6BKtDkjNAaq+UrsSIupObHlRjXvLFgCA+eqrVa6Ewi3oodIGgwHZzStujhkzBqWlpXj55Zdb+rnk5ua22X7YsGE4ceJECEpty2g0wmg0hny/IZU+gqtLE8UZ5bIRh0p3N+f69TBkZcHQv7/apVA36PK/B7Isw+PxYMCAAcjIyMD+/fvbPH/gwAFkxesshmm5QPVeQA6oXQkRdRdZ5uWKbiSEgL1oJUxXXMHgEkeCanlZvHgx5syZg/79+8PhcODdd9/F2rVrUVRUBEmS8Oijj+Kpp55Cfn4+Ro4ciTfffBP79u3DBx980LKPwsJCzJs3DwsXLgQAOJ1OHDp0qOX5o0ePYseOHUhJSUH/aP9BNCQCAa+yVAC0aldDRN1BlgGJ4aW7eA8dgml4LnSpqWqXQt0oqPBSXV2N22+/HRUVFUhKSkJeXh6KioowY8YMAMCiRYvQ1NSEhx9+GHV1dcjPz8eqVaswePDgln0cPnwYtbW1LZ9v2bIFU6dObfn8kUceAQDMnz8fb7zxRleOTX11R4HkfoBWr3YlRNRNhGCfl+4UcDhg7JOhdhnUzSQhhFC7iFCw2+1ISkpCQ0MDbDab2uUo3rsN8DiB2z9SuxIi6ibeV74OCA0MCz9Uu5S44Fy/AeZrJkLikgxRqzPv3/z3IJzqjgIpA9Wugoi6E0cbdTsGl/jD37BwEUIJLz0YXojiCSepIwo//oaFi6sG8LmUyeqIKH7IMiQOle42hoED4Vy/HvXvva92KdSNgp7nhTqo7qhyz8tGRPGFLS/dypDZF4bMvnAVF0P4fJD0HCARDxhewqVOWS4BPQaoWgYRdYPGenj/8j3IjR7g1DYgd7LaFcUdSaeD7PFCy/ASFxhewqX+KGBJBwxcFIwo5p3cDM+uzTDl5sJVr4e1Rx+1K4ob7q1bIbvd0JhM0Fr49zZeMLyES91R9nchihfpwwFJA924W5F8z7c5t1M3kt1uWK69Vu0yqJvxwmy41HOkEVHcSMpE4tQb4P77S4DWwBbXbsXO0fGI4SVc6o6wsy5RHNHO+h/Ibgew/W21SyGKeQwv4dBkB9yn2fJCFE9SBsJ45Th4Pn9P7UqIYh7DSzjUnx0mzT4vRPHEcOVE+I4f4kryRGHG8BIOnOOFKD5lFwK+RuDYerUriSMxsTwfBYnhJRzqjgDGJCChh9qVEFF3am5tFeXbVS6EKLYxvIRD/VEgZQDAxcKI4oMQEBv/AOeP8iEHJEiJKWpXRBTTOM9LOHCOF6L4UbUbTX+9G94jB2GZPQ+aaY8CPQerXVVcEIEAl2KIUwwv4VB/DMi8Su0qiKgb+D76GeQzZ2Bb/C4weBpbXLtRwG6H1mZTuwxSASNrqPk9QEMZO+sSxQMh4PlqOxJmf1fprMvg0q1khwNaq1XtMkgFDC+hVn8cgOBlI6J4cPow4HFByrpa7UriUsDhgIbhJS4xvITa2TleOEEdUewr26zc9x2jbh1xSnY4GV7iFMNLqNUdAbRGwMpVZYlinXxkE6Se/YCEZLVLiUvC54XGYFC7DFIBw0uolW8D0q5gD3iiONC0vQSm/LFqlxHH2McoXvEdNtT0CcraRoKzPhLFNI8TcvUxaIdMULuSOMa/s/GK4SXUcucq/V5+ngz8bozSoY+IYs+p7co/KZwWgajbMbyE2uBpwNeXAnOeB04fAg5/pnZFRBQG4mQJoEsAUnPULiWO8bJRvGJ4CTVJAkZ+R2mBAbi+EVGM8u8uhn7wMECjVbsUorjD8BIuRz5X7gdco24dRBR6QsCz70sY8ieqXUmcY5+XeMXwEi4NJwBJAzZrEsWg+mNAYwOk/uPUriQmyV4vhCyrXQZFMK5tFC5XfhP47JfAl8uAiQ+pXQ0RhVLZFmgMMpwnAkDVhuYHz7YCXO4fFmU7SaeDJiEBUkIiNAmmNh9L2vi+FOVavx6S0QQE/NClp8N0xRWX2JL/HMYrhpdw6TFAmajO16R2JUQUamWlSBzaH5g+p9O7ED4f5MZGyI1NEI1u+Gtrmz9vBGSBtmFI4FJv1JJeD21KD+hSUqBNToaki/4/64ZBgyBpNDBkZcH5+eeQs7IAAN7jx6Hv3Rva5OTmLXnZKF5F/095JDpzAlj3v4CjEjBxxVOimFO2GejXtfWMJL0eWr2+y6siyx4PAvX18NfUwHPwIIQ/0PzM2cDT+g1egmQwQJucDG2SDVqrFVJiIqQIWlBSCAFdz55wl5bCkJUF8zXXwLVpEyS9HoasLDg+/RRJN90EiROBxjWGl3D4v28DNfuA8fcCo+erXQ0RhZKvEajcBYy6Te1KAAAaoxGa3r2h7927Q9vLHg8CZ84g0NAAX3k5ZHdjq2cvdunr3GOSVgON1QZtkg0aqxVam63lEpcQAvD5IHs8kBsbITweiKYmyE1NzfcedLSlRGOxIGH0aOWrarWwTDzXMdp05ZXwV1c3H2/khC7qXgwv4eA+DZjTgNlL1K6EiEKtYicg+4HM6FxJWmM0QpOeDn16etCvFX4/Ag4HZLsdvrIyNNntgCzjbIiQ9DpoTCZIJhMko1EJOL16KY8ZjSFpLTEOHQr7v/+DhPw8SFzXKG4xvIRaxZeAuw4YMkPtSogoHE5uBvSJQFqu2pV0O0mng65HD6CHevNXSZKEpBu+hrp33oF12jTV6iB1MbyEWvUeIOABcq5TuxIiCoeyUiBjNKDln0819fjOdyKqrw51L/Z4CjV9onLvrFK3DiIKj7ItQCZXklYbg0t8Y3gJJV8TUPQTIHsGMHGR2tUQUajZTwGOU1yMkUhlbPcMpUOfKjPrfvfvAIfxEcWe8q3Kfd8x6tZBFOf4DhtK1XuAhBSuMksUq8q2ANYMwNZH7UqI4hrDSyjVHwcSewJy4PLbElH0Kd8KZLLVhUhtDC+hlF0InD4IvHkDIDhtNVFMkQPAqe28ZEQUARheQmnETcA33wBObARenQk0lKldERGFSu0BwOtkeCGKAAwvoZb7deDm15T+L9vfVrsaIgqV8q0AJCBjlNqVEMU9hpdQkyRgxDeUP3A1+9SuhohCpWwLkHoFYLSqXQlR3GN4CZdeQ4Hag2pXQUShUr6Vl4yIIgTDS7j0HAycPsSOu0SxwOsGqnZzpBFRhOAkdaHWZAfe/x5wZC1gsCrhhdNYE0W3yi8BEWDLC1GEYMtLqNlPKcFl2A3A9//NmXaJYkH5VkBnisuVpIkiEd9ZQ63yS+V+3D1AxkhVSyGiEKnYCaSPALR6tSshIvCyUeic3AyseVZpdbnym0DWRLUrIqJQqdwF9B+vdhVE1IwtL6HgawTe+roSXK79EfD1peznQhQrfE1AzX6g95VqV0JEzRheQkFnAiYsBIw2YOPvlU67RBQbavYqnXV756ldCRE1Y3gJBUkCpv4P8MPVysevXA2UbVW7KiIKhcpdgKRhZ12iCMLwEkqpQ4EHtwMpg4A3rgMOFKldERF1VeUuoGc2YEhUuxIiasbwEmq2DGD+v4CBk4G/L1D6wRBR9Krcxf4uRBGG4SUc9CZg3h+BtCuAd74J/ONOwO9RuyoiCpYsA5VfMbwQRRiGl3BJTAG+txyY/Diw631g77/UroiIgnXmGOB1MLwQRRiGl3AyJQEFC5WPZb+6tRBR8Cp3KfccaUQUUYIKL0uXLkVeXh5sNhtsNhsKCgrwySeftNmmuLgY06ZNg9lshs1mw6RJk9DY2Njufl955RUMGDAAJpMJ48aNw+bNm4M/kkglAoBGB2x5HfC61K6GiIJRuQswpwGWNLUrIaJWggovmZmZeO6557B161Zs2bIF06ZNw9y5c7F7924ASnCZPXs2Zs6cic2bN6O0tBQLFy6Epp31fd577z088sgjeOqpp7Bt2zbk5+dj1qxZqK6u7tqRRQqDGbj5deWP4Ion1K6GiILBzrpEEUkSQoiu7CAlJQUvvPAC7rjjDowfPx4zZszAM8880+HXjxs3DldddRV+//vfAwBkWUa/fv3wwAMP4IknOv5mb7fbkZSUhIaGBthstqCPI+z+Oh1I7Al85z21KyGijvp1rrLcx4yfq10JUczqzPt3p/u8BAIBLFu2DC6XCwUFBaiurkZJSQnS0tIwYcIEpKenY/LkydiwYcMl9+H1erF161ZMnz79XEEaDaZPn47i4uJ2v77H44Hdbm9zi2g1+4HEXmpXQUQd5ToN2MvZ8kIUgYIOL7t27YLFYoHRaMQ999yD5cuXIzc3F0eOHAEAPP3007jzzjuxYsUKjB49GoWFhTh48OBF91VbW4tAIID09PQ2j6enp6OysrLdOpYsWYKkpKSWW79+/YI9lO414ibg4Eq1qyCijqpiZ12iSBV0eMnJycGOHTtQUlKCe++9F/Pnz8eePXsgyzIA4O6778aCBQswatQovPTSS8jJycFrr70W8sIXL16MhoaGltvJkydD/jVCKn0E4KoG1v8a2PcfZTFHIopcVbuVdct6Dla7EiI6jy7YFxgMBmRnZwMAxowZg9LSUrz88sst/VNyc9uu/zFs2DCcOHHiovvq1asXtFotqqqq2jxeVVWF3r17t1uH0WiE0WgMtnz1DJwM6BKA1c3Xzs1pwPX/C+TOVbcuIrq4mv1AryGARqt2JUR0ni7P8yLLMjweDwYMGICMjAzs37+/zfMHDhxAVlbWRV9rMBgwZswYrF69us3+Vq9ejYKCgq6WFllShwKPHQZ+Vgss3AoEPMCaJYCvSe3KiOhiag8CvYaqXQURXURQLS+LFy/GnDlz0L9/fzgcDrz77rtYu3YtioqKIEkSHn30UTz11FPIz8/HyJEj8eabb2Lfvn344IMPWvZRWFiIefPmYeFCZfK2Rx55BPPnz8fYsWNx9dVX4ze/+Q1cLhcWLFgQ2iONBAazct8rGxjxDWDLa8Cz6YApGbCkA9Z05f7szdpbmV/C0nyf0ENZtZqIwq/2ADBoitpVENFFBBVeqqurcfvtt6OiogJJSUnIy8tDUVERZsyYAQBYtGgRmpqa8PDDD6Ourg75+flYtWoVBg8+d8348OHDqK2tbfn81ltvRU1NDZ588klUVlZi5MiRWLFixQWdeGPOnOeBK74GOKuUm6P53l4BnNoOOKsBz3kjqHQJysKPyf2AHgMAa4byeeub0caAQ9RV7jrAXatcNiKiiNPleV4iRcTP89IZXpcSYpxVgKMScFQA9ceB+mOA4xRgPwW4atq+Rm9uDjJ9AFtf5WNrq4+T+inrLjHgEF3aqR3AnycrrZ0TFwHXLFK5IKLY1Zn376A77FI3MpiBlIHK7VL8nnPBxl6uBBp788d1R4BjG5TnWq+tpDcDP/gE6JN/7rGj65TWH2vv5rDT59xlLqJ4kz4c+PofgU+fVvq+EFFEYXiJdjoj0CNLuV2KLCstNPZyoHov8PF9wOlDbcPLR/cDDeeNCjPazoUZax/lY1tG28cs6YDOEJ5jI1KD3wsIGRj5bWDlT9v/3SIiVTC8xAONRukMbE0H+owEPr4faDwDuGoB92nldn5wkTTApB8rrTiOCuVS1Yli5eOAt+22ib3Otda0CTutAk9iL6UOokj3ylXKz7vWoPys9xigdkVEdB6Gl3ij0QCmJOA/jyi3i9GZlA7FY+Zf+JwQQGN982Wq5mDjqFT64DgqlYXsDqxUJuQTcquvq2seQdWn7aUp63mBx5TE/jiknia7ElyuulMZJh3wADlz1K6KiM7D8BKPvvGqcgkpsWfbW0Ly5SfkkiSlw29iitIv4FICfuVS1dlQczbknA08xzcqzzXWt32dLuHil6daBx5Lb8CQ2OXTQHSBhjLl/spvAv3HqVsLEV0Sw0s8GjL98tt0lVbXPOKpT/vb+ZoAZ+XFW3EclcqoD0cF4HO3fZ0pSRkq3l4rjiUN0OrDdogUg86GF9kHeN0MyUQRiuGF1KU3KX0K2utXIATgcZwXbFpdtjp9CDi2Xnlc9rV6oQSYU88LNhcJPAkp7I9DChFQ7t+4XrlPSAGS+gJX3wWMvl29uoioDc7zQrFDloHGOmW4eOtLVecHHlcNgFY/9hp9q3DTOti0mvzP2of/hceL+mPAmZPKpdWGk0Dpa0C/q4Bb3lK7MqKYxHleKL5pNIC5l3Lrk3fp7QI+ZfI/R6tLVa0DT+0BJeR4Gtq+zpSkTPZ3qXBjy1D6DrHDcXSq/Ar4cpkyCk+rB7RGZSoCxynl+0pEEYPhheKPVq9cCkjq2/52Xte5Cf8cFc0Bp/m+ag9waLUy+3HrUVVaY6sOx30uDDdn++NwbpzI88+FygzWqTnKEGm/V7lPGQQMnqZ2dUTUCsML0aUYzMoimr2yL71NwN+8fEPrcFN+rj9OxU7lcX9j29eZU88LNxnn+uDY+iofm5LCe3zUlr1C6dsydbHalRDRZTC8EHWFVnf5VhwhgKYzzYHm1LklHBzN9ydLlY/dp9u+zmBtXo+qb3Ogaf46tgzAlql8bLSG9fBiiv0U8N9HgTMnlNY3jb75Xqfcu6qVEWpEFPEYXojCTZKUBf4SegDpuZfezu8514JjP3VuraqGMqBqN3BwpdJXp3VnY6Ot1aKbfZVQc37gMVrCfogR78wJ4M9TlKCSM0e51BfwK6PTAj5l7a+c64BBU9SulIg6gOGFKFLojJcfNu73tgo45UqwOftx5S5g/wqlBaG1sx2NW0JOJpA7V+nbES8cVUrL1qTHgNHfU1ZXZ8dqoqjFodJEscbvPXd5qqG8uQWndSvOV8DI7wI3/lbtSrvX2zcDh1YpH9/8GjDiG+rWQ0QAOFSaiABlJFN7LTgvXgFsexP46kPAkqqsOWVuvrekt3osTekDYusbG5P43fo2cGIj8Ld5ANjqQhTNGF6I4s33liuXmJxVSh8aZ7Xycd0R5d5Vizb9asypwOznlPWs0nKVoeBn/fNBZbVxU7JyeSoh+cKPE3ooc++cXUPLlKxOGNKblD5BgBLOiChqMbwQxZu0YcrtUgJ+pX+Iswr410PAqW3AP+449/x33geGzgKaGpTWmz55QI+B50ZUVe9Vnms8A3gdF+5f0iiBJvFsoEk5F2xah5yWx3spw9ZD0UfFWancf/meclyJvZRjSUzp+r6JqNuwzwsRtU8IwOtURuwsnaA8dsXXlJXBfW7gByuAjFEXf23Ar6wc7j593q0WcNed+9zV6nOf68L9aI1tQ02bkHM26JwXfHTGC/dTfxz48C6l07O7TglXU/4HmPJ46M4XEQWFfV6IKPQkSZlPJi0XmPEMUFYK+JuAK78JXLNIGcF0KVpdcx+a1I5/PV9jc5CpbQ43da0CTnPYcVYD1fvObSP7L9yPwQqYe54Xcno2t7Q0f/z3+ZwMkCgKMbwQUcdIEjDxwfB/HX1Cx5ZvOEsIwGM/F3Rah5zWrTx1R5Tg5T6ttAadlTIoPMdBRGHD8EJE0U2SlNYTU1LHg8jZy1leZ/vz6hBRRGJ4IaL4c/ZyFoK4nEVEESMGJm8gIiKieMLwQkRERFGF4YWIiIiiCsMLERERRRWGFyIiIooqDC9EREQUVRheiIiIKKowvBAREVFUYXghIiKiqMLwQkRERFGF4YWIiIiiCsMLERERRRWGFyIiIooqMbOqtBACAGC321WuhIiIiDrq7Pv22ffxjoiZ8OJwOAAA/fr1U7kSIiIiCpbD4UBSUlKHtpVEMFEngsmyjFOnTsFqtUKSJLXLUZ3dbke/fv1w8uRJ2Gw2tctRHc9HWzwfF+I5aYvnoy2ej7ZCeT6EEHA4HMjIyIBG07HeLDHT8qLRaJCZmal2GRHHZrPxF60Vno+2eD4uxHPSFs9HWzwfbYXqfHS0xeUsdtglIiKiqMLwQkRERFGF4SVGGY1GPPXUUzAajWqXEhF4Ptri+bgQz0lbPB9t8Xy0pfb5iJkOu0RERBQf2PJCREREUYXhhYiIiKIKwwsRERFFFYYXIiIiiioML1HqwIEDmDt3Lnr16gWbzYZrrrkGa9asaXn+jTfegCRJF71VV1dfcr8DBgy4YPvnnnuuOw6pS8J1Ps7yeDwYOXIkJEnCjh07wngkoROuc3LjjTeif//+MJlM6NOnD773ve/h1KlT3XFIXRKO83Hs2DHccccdGDhwIBISEjB48GA89dRT8Hq93XVYnRaun49nn30WEyZMQGJiIpKTk7vhSEIjXOejrq4O3/3ud2Gz2ZCcnIw77rgDTqezOw6pSy53Ps564403kJeXB5PJhLS0NNx///3t7vfw4cOYN28eUlNTYbPZcMstt6Cqqir4AgVFpSFDhojrrrtO7Ny5Uxw4cEDcd999IjExUVRUVAghhHC73aKioqLNbdasWWLy5Mnt7jcrK0v84he/aPM6p9PZDUfUNeE6H2c9+OCDYs6cOQKA2L59e/gOJITCdU5+/etfi+LiYnHs2DHxxRdfiIKCAlFQUNANR9Q14Tgfn3zyifj+978vioqKxOHDh8XHH38s0tLSxI9+9KNuOqrOC9fPx5NPPil+/etfi0ceeUQkJSWF/0BCJFznY/bs2SI/P19s2rRJrF+/XmRnZ4tvf/vb3XBEXXO58yGEEC+++KLIyMgQ77zzjjh06JDYuXOn+Pjjjy+5T6fTKQYNGiTmzZsnvvzyS/Hll1+KuXPniquuukoEAoGg6mN4iUI1NTUCgFi3bl3LY3a7XQAQq1atuuhrqqurhV6vF2+99Va7+87KyhIvvfRSKMsNu3CeDyGE+O9//yuuuOIKsXv37qgJL+E+J619/PHHQpIk4fV6u1RzOHXn+Xj++efFwIEDu1RvuHXH+Xj99dejJryE63zs2bNHABClpaUtj33yySdCkiRRXl4eugMIsY6cj7q6OpGQkCA+/fTTDu+3qKhIaDQa0dDQ0PLYmTNnhCRJlzzPl8LLRlGoZ8+eyMnJwVtvvQWXywW/348//elPSEtLw5gxYy76mrfeeguJiYm4+eabL7v/5557Dj179sSoUaPwwgsvwO/3h/oQQiqc56Oqqgp33nkn/va3vyExMTEc5YdFuH9Gzqqrq8M777yDCRMmQK/Xh6r8kOuu8wEADQ0NSElJCUXZYdOd5yMahOt8FBcXIzk5GWPHjm15bPr06dBoNCgpKQn5cYRKR87HqlWrIMsyysvLMWzYMGRmZuKWW27ByZMnL7lfj8cDSZLaTGxnMpmg0WiwYcOG4IoMKupQxDh58qQYM2aMkCRJaLVa0adPH7Ft27ZLbj9s2DBx7733Xna/L774olizZo3YuXOnWLp0qUhOThYPP/xwKEsPi3CcD1mWxezZs8UzzzwjhBDi6NGjUdPyIkT4fkaEEOKxxx4TiYmJAoAYP368qK2tDVXZYRPO83HWwYMHhc1mE3/+85+7Wm7Yhft8RFPLixDhOR/PPvusGDp06AWPp6amij/84Q9drjmcLnc+lixZIvR6vcjJyRErVqwQxcXForCwUOTk5AiPx3PRfVZXVwubzSYeeugh4XK5hNPpFAsXLhQAxF133RVUfQwvEeTxxx8XANq97d27V8iyLG688UYxZ84csWHDBrF161Zx7733ir59+4pTp05dsN+NGzcKAGLLli1B1/Tqq68KnU4nmpqaQnGIQVH7fLz88sti4sSJwu/3CyEiI7yofU7OqqmpEfv37xcrV64UEydOFNddd52QZTnUh3tZkXI+hBCirKxMDB48WNxxxx2hPMSgRNL5iITwovb5iLTwEsrz8eyzzwoAoqioqGX/1dXVQqPRiBUrVlyyhqKiIjFo0KCWUHTbbbeJ0aNHi3vuuSeoY2F4iSDV1dVi79697d48Ho/49NNPL7huKIQQ2dnZYsmSJRfs9wc/+IEYOXJkp2r66quvBACxb9++Tr2+K9Q+H3PnzhUajUZotdqWGwCh1WrF7bffHrLjDIba5+RiTp48KQCIjRs3dur1XREp56O8vFwMGTJEfO973wu642EoRcr5ECIywova5+PVV18VycnJbR7z+XxCq9WKDz/8sGsH1wmhPB+vvfaaACBOnjzZZpu0tLQOtTzW1NSI+vp6IYQQ6enp4vnnnw/qWHTBXWSicEpNTUVqauplt3O73QAAjaZtlyWNRgNZlts85nQ68f7772PJkiWdqmnHjh3QaDRIS0vr1Ou7Qu3z8dvf/ha//OUvWz4/deoUZs2ahffeew/jxo3ryCGEnNrn5GLO7s/j8XTq9V0RCeejvLwcU6dOxZgxY/D6669f8DW6UyScj0ii9vkoKCjAmTNnsHXr1pa+Ip999hlkWVblb0goz8fEiRMBAPv370dmZiYApQ9cbW0tsrKyLvs1evXqBUA5H9XV1bjxxhs7fiAA+7xEo5qaGtGzZ09x0003iR07doj9+/eLH//4x0Kv14sdO3a02favf/2rMJlMLQm3tZKSEpGTkyPKysqEEEpT6EsvvSR27NghDh8+LN5++22RmpqqWitDR4XrfJwvEi4bdVS4zsmmTZvE7373O7F9+3Zx7NgxsXr1ajFhwgQxePBgVS4tdlS4zkdZWZnIzs4WhYWFoqysrM0w2kgWzt+Z48ePi+3bt4uf//znwmKxiO3bt4vt27cLh8MR7sPqtHCej9mzZ4tRo0aJkpISsWHDBjFkyJCIHyrd0fMxd+5cMXz4cPHFF1+IXbt2ia997WsiNze3ZeRhWVmZyMnJESUlJS2vee2110RxcbE4dOiQ+Nvf/iZSUlLEI488EnSNDC9RqrS0VMycOVOkpKQIq9Uqxo8fL/773/9esF1BQYH4zne+c9F9rFmzRgAQR48eFUIIsXXrVjFu3DiRlJQkTCaTGDZsmPjVr34V0W9KZ4XjfJwvmsKLEOE5J19++aWYOnWqSElJEUajUQwYMEDcc889lwx8kSQc5+P111+/ZN+BSBeu35n58+df9HysWbMmTEcSGuE6H6dPnxbf/va3hcViETabTSxYsCCig9xZHTkfDQ0N4gc/+IFITk4WKSkpYt68eeLEiRMtz5/9m9n6e//444+L9PR0odfrxZAhQ8SLL77Yqf5ykhBCBNdWQ0RERKQezvNCREREUYXhhYiIiKIKwwsRERFFFYYXIiIiiioML0RERBRVGF6IiIgoqjC8EBERUVRheCEiIqKowvBCREREUYXhhYiIiKIKwwsRERFFFYYXIiIiiir/Hz9X3ZBVRw6BAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "looking for surrounds, now working on vtd 1107\n",
      "WARNING. vtd frag 1303 in county 52 intersected county 61 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING. vtd frag 1305 in county 52 intersected county 53 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "looking for surrounds, now working on vtd 1850\n",
      "vtd fragment 2030 with no neighbors in its county 83 borders a unit or fused county 78\n",
      "After surround checks, we appear to have 1440 building blocks defined. We captured 22 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 60\n",
      "working on unit neighbor lists for county 80\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            #if STATE == \"TN\":  #Tennessee has a lot of discontiguous county fragments.  Force the nearest intracounty to be a neighbor\n",
    "            #    if nVTDneighbors[v] == 0:\n",
    "            #        listMinusSelf = list( countyFragVTDset[c].difference({v}) )\n",
    "            #        fragDist = [fragVTDgeom[vvv].distance(fragVTDgeom[v]) for vvv in listMinusSelf ]\n",
    "            #        minIndex = fragDist.index(np.min(fragDist))\n",
    "            #        vv = listMinusSelf[minIndex]\n",
    "            #        nVTDneighbors[v] +=1\n",
    "            #        lastVTDneighbor[v] = vv\n",
    "            #        print(\"I am forcing an intracounty neighbor for VTDfrag\",v,\"of vtd\",V,\"in county\",c,\"to be VTDfrag\",vv)\n",
    "            #        forcedPairList.append([v,vv])\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[c])\n",
    "                                plotPoly(countyGeom[cc],0.2)\n",
    "                                plotCenter(cc, countyGeom[cc])\n",
    "                                plt.show()\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                if STATE == \"TN\":  #for TN, we tolerate some discontiguous counties\n",
    "                                    print(\"vtd fragment\",v,\"with no neighbors in its county\",countyNo[parentVTDno[v]],\n",
    "                                          \"borders a unit or fused county\",cc)\n",
    "                                else:\n",
    "                                    raise Exception(\"ERROR! Neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"PA\":  #state-specific manual surround enforcement\n",
    "    specialSurrounded = [7240, 7701]\n",
    "    specialSurrounder = 6447\n",
    "    print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "    c = countyNo[parentVTDno[specialSurrounder]]\n",
    "    plotPoly(countyGeom[c], 0.5)\n",
    "    for v in specialSurrounded:\n",
    "        plotPoly(fragVTDgeom[v])\n",
    "        plotCenter(v,fragVTDgeom[v])\n",
    "    plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "    plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "    plt.show()\n",
    "    shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "    if shouldIcombine == 1:\n",
    "        for v in specialSurrounded:\n",
    "            vv = specialSurrounder\n",
    "            if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                for sNo, s in enumerate(surroundedVTDs):\n",
    "                    if surrounders[sNo] == v:\n",
    "                        surrounders[sNo] = vv\n",
    "            surroundedVTDs.append(v)\n",
    "            surrounders.append(vv)\n",
    "            nVTDneighbors[vv] -=1\n",
    "            nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "            fragVTDpop[vv] += fragVTDpop[v]\n",
    "            fragVTDpop[v] = 0\n",
    "\n",
    "\n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. unsurrounded vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "            unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should always be the case\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "    \n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 103\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "        print(\"above is with unit numbers; below is VTDfrag nos\")\n",
    "        for uu in smallPieceList:\n",
    "            vv = allUnits[uu]\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"v\"+str(vv),unitGeom[uu],8)\n",
    "        v = allUnits[u]\n",
    "        plotCenter(v,unitGeom[u],8)\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "We already went through this loop once and found a specialSurround set\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"11May24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4d5fdc3c-6126-4fa8-b484-1d0052c70aed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state NJ\n",
      "clipPoly 0 intersects [4] counties and a total of 85 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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S0FFEFMWJILsRFCeK7ERQ7DBSJYxU1JGrYWS7trgRFDuKJAxkSfL9PSZvrrXXkjS17fuDSBQp84y7mw6lERD0eWOcry8hPpleYLKuJNWak2aUzdhXf79atcnXslT3P5lRVwKBiycsVDUCssQ9EY92ZM6WNCRVRlJltqoe31KqfFVPIakyqFJ9n6T564K9iZHSfZSdCb6/uYNB2aKsxVhpFCmKJBvNOazRh1CEiuWGsDwdy9WwXBXLVUlaY7wt/z/cHbqeLGmuqj5MNraQ7Pw3s7ApRsi5B63yY+KGBcLCE1ZdpB5t+O3EkKZZVgxk2fB9ZOQQnmfSkLkUSUlTtGN0NnRihNqIRZe85h2Kg9lPsxCImoCAIyOEB8zM3yKEh2WPY+iNJ9RWtWhTLdkkm8Mn7WJbLdmUciappgiKdmqmtD740DKEOLpIUdVEzVnTH3pRpAiyCKO4YWQnjGSHkO0QshVCMg2kso5cMaCkISqA69Vuj8KfWeNF0I00aiiKFFKQDQVJV5AjKkrKQNIV34o1PViLV8vwIyYXAUJMTTEWwndkrW3fv3sdl809F63mOGraJk/0PMcVcy+sHctU4BdRs64dWuZNbU8/RsxWNtkvAOHh2CVUJeq34QlGJY9vpOFPez1wPITj8f+1y7ylz6Gz6IIze/TbAxd+nmpyHwDhgTXc3nQet6hfI9G/Bk+tMq4q3B09n3c7d+EpVVy1ilBnDvaojkfTiEXLrjdjm1dgiw6EbOMpJnuu/MOjfvfHy6qV3yIUap8hXGRZZzAvkGWV9tSRc1UJIdg+WGBZ2+vrHhbMfgoICDgmQghK5d3IkgrITN0FJ7dB1xsol/cfNeeOEILccKV+Y1V1mVTLyU0iGIpqhKIa2aEyiiafEqvNkQSNokQQwkV4Do7tDw0dFQUI15bUifUhk76EpqZrEXggakMUwvaHMoQNSKhqjGhkod+vsowsDBQphCyHUMMR9EQCSdLqgjNsb6Xxhpn+Ffu/cg+pN847sc5REzyOQNguwvEQtr94llvfFrVtt1rGqmQJ0+qLF8sXMC2Wy7Wuw9/Mc0lbMlkZLsu6dCsKIiIhHA+v6iA8QTW5m0pyL3Z0CCH5zuWxoXMxdvw+S4oai/evwjFyOHqOpJ7n8TPP5cOje6jGD+Il9te1leQYqGYaOzrIQFuI4Yb1CHktnmKC9GKe+32rm29pCdWFSyZzKZnMJbPOPOrMwGjRZKxo0hAzZm1113CRxS3xF9Gf1w+BpSYg4DWO51lUq33ISpiQMRX5tFw+QCjUgSwf+dmmWh1AUaJo2tR/RniC/Fh16ukcSDSFZ/eHeRmwKg6FiSqJxjCafvpESB359ibMXVk/E7Lk+TdZWaC2hVBbDJRmA63VgIgEsgeqC4pAyC5Ccmsiwx8jkpDwPBvbyrNp88cQTEWXlSQVCQWQaxF1NSRJQ5ZUhBDY7jjiSPOJJxEyEipCminUFtpfIGKey2MHn+HKzgvAFQjXFxvCEVNCxfHAniZUauWe4+CqRVwjVzsPtXNROycgEJJXKxegARpIquQ/YqsgKX4ZClQVmZDq+mWqX4YiQIZ+77tY4nBfk6ixFCFcvmK/mY+IryHj+x7tZx5bOYN3hF8gHltOPL6CRGIl8fgZqGqCTZs+zsjob+vtLFr45zWrWwTHLaHIYcLhrvq06cl9vng5OY7sB8ZKNMUNIvrh/8m+bIWYoZIMv/6c5oPhp1kIRE3A65VicQfR6GJct0TVHECWNHxLjHTMrMf7tj5HumHJYeWJxhDycU6xfbnIj1ZqfQmf0n5MIjyBuS+HM1zGmajiZk3cvIVXsv2l4hzZ9ULC9w8xFH84x/ItHS/GVcOTLVytiFAsPNny14qFkC2EYvvbqk2u/TGqiT2zfA4Z2QujehFkL4wiwr6IkuSaH4xAyBaeZCEkC08y/QULwYn4EL00/F/wJNKMVyCxT5rPfeI6FrOdPAlypHkv/4mKg2G0kk6vxjSHa8sgrlusH71wwZ8wd+7HZryf45SoVvsIhztRlJNriRRCsGu4SHPcIBU5PB5TrmxTshzaU6fHb/2VJhh+CggImELyn+hVNUZM9YcZhPCOGJhsOvFMikp1L5nWORjG6fUwkGgMY5su4/0lYpmX5ox8MpBkidCCFCxIzbpfuB7OaAWv4hxm4aivqw7Iku8ro8lIiuxbMWTJ952RJSRFAqX2WpFnLRceuCULrSlSqzfteHlq5lku/ywIQaWaY6B/P0JUaWiIgVTFLudwzDyeWq0NwQgEHhKyP5yi1JyalTCKbPhOzkoYVU1gGM0gKUjItd+Z7M9wUnR0rQFJkrHtAlWzD0lSp0UMnsCyJ7DtcWxrAtsZx7LGcZwsAPdzLa0McgabkIAxMtzNW/kg32G6Apw/71OcEV3IBcMPsGF4N1EKNDBe32+ag1QqPRhGC7HoYgyjhXB4LuHwHCKRubOKFlWNEostplLpBcYJhztPxs8GIQRb+vMsb0vMau20XY/hQpVFwbDTcRFYagJeEqLm+Cc84W97RynzjlQ+ecwsZdPqejUHR69WjvDjnEyup7eBEHizvu+09z9aH6f9LWY4u06bxFH3k5x0gpT8G5tcS3onyVOvhQee5+G5As8VuM7Utuf6225tPdn/yX7U1/XymWWuW0XC94vxanWGDxQAuOJ9SwgnJFyvQCjchCxLKKqMrEjIioyi+mtZmSqf2u9/DiEEw317EJ5Jc8dSZOX0GfKZJD9aQVZkYunZfRFeb9gjZbSmk2NNsEfKKHEd+SWIxmp1AEnW6k7n5fJ+1j159VGPUdUE0ehiYrHFxKJLCYXa+IehDH8zvwldzzA5U+iaJ5/kc/wNqUgno2MPAn5wuSP5QDU1Xc+K5f+Eorx4vyzXLVOp9hEy2lHVl5ZbatdQgflNMZQjDN9uG8iztDX+mp/hdDQCS83rnL6dE/zsn5871d04rZAmM/rKtemksuTPMp0uQGpTTSdnk0hIvi/ANNk/fQbJ9HqTTrJ+ULSaOKoJJc8VSBJ18SDXhIRSEw718sntWl+Y1i+59iQ+ORXWN7J4eF4JVUsiRBVP2KhqGEUx6qLm4e/vmHYW+k74vPn9neqr4FGUWn81Q0dRlVmFUV0w1Y+VkVXJP1aV6mWHCal6Hf94VZP999D8Oooqo2hyrdxfJFki0RimUrTIjZRJnuDN3LEsnvr5j6mWCgjPo2v5mSxefckJn6vXKlpTBGesgnAFyosIgmiaw0iSPDWLbnAT4Y0/YNVIhiFtiMrC1QhchLCx7Ty2PV5Lu5Anl3uGXO4ZQELT0oyJD/J8+RFCetJPk6Cm6FAupLvtvehanHR6NdVqP9VqH4XCFqrm4TFrOjve+5IEDfjO4bHoIiqVXmx7nHC460W1M16ySEf1Iwqa3cMFFjTFXteC5kQJLDWvQcyKw/f+ch2O7fk3V9e/0Z5OSLJ/Y9ZDKuGYhh5W/SWkYoQVtPq2ihFVCUU0FF1G1RRUTUbVp25wiiKDhG+6ra0lSQKZeryO0+2iUC4fYHJerRACWdYJhTqOq5/V6gCeV0UIj2h0wYx9tu0n/3MdAV4URUn6ViLXF1p1S5Hr4Tm+lch1BZ5TW9fKJ/dPWpTcaeWu4+FaNoXcOJFow8zjJuvXLVEerjPNGnXI/sn39twX//uUFakudGRFQpZltJBSF0ozRKs8Xdz6r4f3/Jp0+/mE4i1IksR43zr0UIpk6/IZQrh+TH27tmaqbd/Jd5ownqw/LZaLJB26b1Kkzmwbpr3PtNguR2oDy0XOmzBeRao4SIaCVLIhE/bjutT+E1JIgYSBlDSQVXlaW7P0Zdo5cwsWkgJq3DjsvR/YPszm/iyKIiMA1xWUbIdCtYLpOFiejum6zDV3sbryCN8x3oeQNa5Qn2ep2MvTcz5COqKTiWo0xgxa4jJxvUxUy6NLE1jWMJY1yoaixGPlJO811oI9xgPmfPIOXOvdhRA2shwiFOogFGonFOogHOqove4gkViJLJ/8/GGuW6FS6SEUakNVT2yIaO9IkflNs+f/6J0oE69l7n69EzgKz8LrSdS8nBzYPMbEYIlYOoRju7i2h2N52KaLbbk4povreDOHTg4Z4vEtGgACu+piVhxs08Wq+mvbdPGc4/9ZSrKEotae9utP+MrMp/rak319W5NR1Wnb0/bLNT8FWQapdpOU5JpYkqesJpY15Asp2SMcbkdRlBkWl+kWjMljZEmiVN1NJNwxw2zteSbVav+sQmUS1zWpVPYTDs9BUU6tw+C+7euYu/hC5OMIW38kxoomj+0apWQ5mLZL1fYoVR0s2yOqyURUhZAio8synuPh1AWSH88ET/iuHjXBRq3cszwk2yOqKxhCQgNUZBSmfnuTw4yuYzGy736a5l1f/526rqB/63doX/ahepk3bUjQH/KsDW/WHhYmf+tM/53DYcOZ04dnZxtirPdvckhzFgwJ4opEXJaIK/52TJYITaaeEAJTQPg4ZqPtNz1kacpkn3cFY67AEWALf+0Ips29ejkQ+POiZi5MbkuHlxshBUmRMGSZ0KQwQyDJ8jFE4JSolWsPVpPCV1aml0uH/d9lCSRFrq1n1nE8m4niEEaoCUXRaIgbtfamrhuHtikQjFdsWlLhmiV3an/BdPCAxoQx1bd6H5nZ1iz9n9z3WiEQNbMQiJpXF67j1QWOWbaxKq5vJbBneeJ3/Jud63hTi+0vzmzbtbVjT72e3J60br0STFqr5BnWgMly/+I8aXUSOL54U7QZVgJ5FisCTInGqW3qN1Lwb8yu7TEx6GdGNqKqfzGsibFJQXiY42LtDRyrgmaEDy1m0uOo/nq6O1LNP2efY/NEtcTGahW3VkWVfPGhyzIKYApBxfNO6s1UAgxZQpdldFlCkSRUGYRZIhJNoMoSqiSjylAe6yPdMocL3Sc5y9mAKxsYWDwUfydjeheqLKHJEqosoyqSf6xSew2oAlTXQ3WFv9gC1fFQbQ/FrpUrvrBWVQlVldFUxV9r/uLJHj25XhzHpIsMTeUwjFWhluwTWULOhFAaQygNYeSGMHI6hKeA3hQFDvUhEwgXnP05zJ/v8Z2GG8N+tF9dRoxUoDJ76gUAljfAohSe5CcaRZWRwxqi4vBPd2/FMF3akInXvvyorqArCpoqoSsymiLTXNlLKbkI1xM4rkBVJBryW6mmliApBlRsNiqwoVBhIF/Fn9w+9TOa3L75nA7mZKJTQtAT9d/8TOF4iF9a3RetZrmsDRN7rqgPFfvnaWoYub52a6J2Wl3bsXFrwQBllHo91xVTAtc7NZbyyWHdyQe6+ro+rDvLvmkPe2r9gU+Z9eHQt5bP3CcrEtHkyfdrC0TNLASiJuB4mbzo1S943uEXuXKpB0PvmHEhdOwqZnUUz5XwXKaGXrzJi66MqqQPv0AeYskyqyMoShzQ/XwxVgFViQPqDF8d4Qm8Qy7SM6gNhfjbtRuDNDVEp2gyjulSLdo0dyfwPHGYQBST0Wmh/pgsPEGllCUcS02VTZ28Wcqg4nqsyxd4JFugz7Jp1lQuS8RZE48SqcVlmX7jmfweLFdg+x7fCA9SVYf5BRMPf/DO9L2e6gFyXcBFUAHKCCoIzFq9KmDVXlsIHPysx/7af+1M29cp7eMs+Rn+x73Zj3QiTG7VvsU/2R+lgoYz7RgH8GrRZBxpsh8nH8kP0TK11F4rSPXtyfJaJBsU/O9emYxuI03brq0VyRfXGqBNrpFoRhCtnd8JBOMI2pC4BQMFiUNtAQ5T34moOZpNF9Vy7ay4yEx6rak4WKjEJQl12vDrHhl6QgpuTCce1YmHVTRVmWGJqQ+pTR/Km+4Xd4Thv+nDahxy3GHDe4e0LxAMZAfxhEc6liIZjU/Vnzy+NEKhXKHiuLTEQ8iKL8escDPDBRNdUWiI6TD5X2ZKfPZOVOhMhWcVZf55rE0aYLp17xAR59WGdmtDwI7tP/w5du3/bbu19cwHQWf6Q57lUinZJ2Q1B7j5T8+jZd7JvccGjsIBAS8BSaqZm48yyUc2ZKLRQx1S40DTSejBXKrmIJ5bQVEyGMbSk9DmyaVv/wtEYnHSjUef1nrPpgEe2z3Kz5/ro2K7XLOshS+tmcvFCxpfdLA+t2RTenqQ/G/2k3rbImIXtgG1m4Lt1aLZCnA98iMVIjHNj6nj+YHkfBUk6mH5Pcdlz9NPUs7lEALaFiymsasbbcvDWAs+yw1S1G/TFuj7N7JG6cVMXz81Fdvx/DGakIIUUZHCGoRVCCk4hoyjKjiyH93fdl0cV+B4HrYrsF0PxxXYjofjCRzXw/YE23ZvpaO1G0nR/HJPsHP/Djra5iOE5B/vCd/i4Xm1NgV21cFV5alyT2CVHRzP95lyhcBVJBwh/MUTVDzBiGVjnoA14Zy2NF2ygifLOLLkfw4ZqmoZRYsioU3daN2adcrxUFwPKT+CYluoKChCwVHjKAIcx0Od1oUFHiwou4w4FrstyI6bM2b9HTaMN31W4yEWnKNZbjikztGG/g4nexx1pkeYHjyuVl843rc/Xg714apNljhUIE6P8mBWnKMKGtVQ0HQZzVAIRTXCCZ3muQma5p7aqeeBqAkIeBGEQh2UyweIROa+PO1Pi/x7OtLRvZLRgX2Ui1kisdSsdb756F7+7tfb6q9vu2Yx3Y0RJso2v948gCJJKLVhG0WWUeXa6/panrZf4r4Dv2Ffbg/vWnozc87txB4q0fervbTNT2KkDVRZRtZlZGNKjWYawkwMljAiGpHEkZ1Ez1z25sMLC63oC2XITPsutAaYeyGxjvknfM6mI4SgbLkUqg5F066tHYpVh7LpMIFENKxTNG08QNNkxl2XtGbTmE6iKTKaKqMrEpoiY6gKetUhmg4RUmVCukJYV1FzFj3feoFhBMN4DCMYwWMEwVBtnT/kDp4AorJNlxaiQ9JpcqDJETQj04REIzKRwQpyVEOJaUgxDWLgiSqKEwcPzF1jR/n0UVDjKFEVOaIhRzXkiIocVpE0BUn376zC8UVn2xWdnB07+Q6+R2O6BWRwfIjR/ASGZjCvee7hwmi6r+DoHkRqLgJ5hkDKlvzp5XFDhbE9iMz8meEvhGBgokI6oqMr8kyB5R0uxCZDWswsP0I4iLrf1yE+XocJxCkLEIAe9idxhGJ+ipJQbft0iuI9G8HwU8BpiRAujlNECBs/v40/1i9JCpKkIss6kqROW168U5zvCFrFdSu4bgXPq+C6ZVy3iicsJElBljT/fWS1vm2ag0Qi85BlHU1LI0nH92f338+qZXGu1t7TxPWqCM/G88xaLh8LzzX9Op5Z64eOLGtIslaLDCzhBzerTQFHRggXIRyEcPGEzZ7d/7c+tTUSWYimxkFSau2pfr9rryVJxXVL2NY4tpOtZyD2E156NRO4mPZZapYPiRmf33WL2K7KV5/7GJmwRU9pMQezr1wMGZnJxND+U6g/Manm7ClNc6asDbtIkoRWEwiaIqGrCo1Sng+Vv8OdyY9SMTIscnZyefE3/KTt02iqgqZMiQpNleuvHU9QrImUgun4gqVq10VLwfT3He3KaygQNVSSEQNFlrAcj3yxhKobdQuPv5zY5TuFRFsyRFsmQmvMoDWqk1Q9Bvdv580Lz6E5rBNvjaIuSHDvvffypje9CQBhexTX95O7e9/MBhXJd9A+DtLvWERoSbouXk5nPM9jz+A+TNuiOdVAc7L52Ac5JhQGIX2MB53CEKgGhFP1otGiiScEzfHTJxP96UTgUzMLgag5vZi8sQth1W/ijlvCsXNsfP5DuG7phNqTJM2/2ddEzrR3mnYjFtNeT+5z8bzqYe2dODK6nkFRorW++GLB8yaFiS9afCFjnnDrkqTVhN1L+7sqSozm5utrwmf64tTXihJG1xrQtLQ/y0pSav44k34Q0103qfcpPzFEPN2MhMTBnjswzQH/zMg6ut5M1XZxXQfHs/A8B094eELBFTKekHE9uf460/gGkMIIDDyhItD50pYHWZ7qojHUwqMDWzFdl88s+kOkHgmn6vqO4DXHcW9yqrjjDzm57pR/0IyZNrqCFFIQmownS9gy2JKEI4EtQcQbZ3X1bgyvzIDUyn3KdVSFiiMEliewPd/nx/YEtvBfK5JETJGJKjJRVSGmSERlhagiEVMmX8tTiyITk/2ymCwTliVkIXhyxI+aG1YMRswsZyUW06gnqWe9liXQZBxFojRQpDBYmuE/VFXBRMJwPFp0hUYLUmc1E1qYQg6reBUXr+IgxVWe3PIMa668GF03mPjRTqzeAuNykZaWFv8r9gR2/9H/k3JMQ0kZqCkDJR1CzYRQGkL+tHFdQe88/SPiVq0quwb2IiGxoK2bsH4CswzH9kBm/nSv+aPXbfBnOZqOS99E5YhTuwMCUTMrgag5Pejr+yHbd/yfEzomFltKW9vNqEoMVUsgIeMJG+E5eMKqrW3/xuxZeJNWnfrNd9KKUfcYnNonSSjyZHK6ELISQamFe1eUSF1MCOHgCQfh2bhulUplP4bRBvhWHssaxbRGcN1yrR/+MZKs10LJ1zL21sLJ10PMywaKEq5n9JVl3bdCyRqypNcz/E5aQXwRZuF5NkJYvpzwHQNqgQI9kOSaBUarWbUmt1/eXE2jg3vRjSiJdMtx1Z/8LMXSTp555u21z6iQTp2P45Zx3ZIvfGsZqD+1t8SbUi6Xx0xyLnxhIMwVMYc3pRxUNYmmpdC0FKoSQ1Ejte80iqpEUZQoutaIIsVRnAiUNMhrWEMCJgBXRbIUajkofR8aayqRY/3U1RxCqTuSzlY2GWTm6PUmHVdntjvlpIokURUWlnBIqBEmAzLW2/BEzdfHwys7OONV3yQ16Qfh++keFUmTEbY3675sg02jksAr2njlqVlRki4jRWXkZoXE2d2ozRE/HYN2anOBvVSqts0DL6xlfks7DfFGmpMNJ9bANKFyTEZ2QJOfU23XUCFIgXAMAkfhgNOWTObiEz6mWNzOrl1fqL/WtAbmdf8BXV23nMSeHR9CCIrF7bS13fyShrxeLJKk1ATXS4tTs71U4du9o4RkCdMTXNOQ4LrG5Etqs7F1Pv37NxFPNR/XuZn8LMnEKq6+6vDEitOxPRtrzzmcs+zvuaz7Smx7nF0bv86P997Hhd03klRBkR0UTFRMXLeEZY3XhhFLOE4B257gsLt8vLbU+6QhSTqyZKDkVfQdAmI67vIEajiMooaQZb2WndkXmxK1m7k0medIolTaRaVykFUrv0k8vvyEzuOJIjyBO15FbQyzs1TlO32j6JKEJQS/295AZihLMhRDNlTsiSrWvhyFB3v8Y2uCpqq77JL7MTQDyzQxXYuzx+dBs0RoeQN6VxytNYrWEqE0vg81HCOcbntZP9crTUjTWL14FeloitH8CFt7tmO7DmfOWXrUTPZ11BBYZdCPEdHac0HxA+qNFEwy0VfWX+i1TmCpCTjl+D4zds0CYdWsML41YtK3xLeQlLCsUQYGf8bExBOA7yNy9ll3EAq1v+z9tKxRLGu85kfz6o3yWXY9Pruzly8v6USXfafEL+8f5MamFMtiL00sWdUKE6MHaek8PLP3S2GoNMQ1P76Gf73qX7m863IA8lae3/nl79BXnJn+QZM1olqUqBYlrIaRJRkJiYgaoVNvZE6khc5w2g9Yp6vEo2EMCXRJIOPieSb249twX+iBS7rwsgXEY/ux378YW3dxhT+UaHsVJMW3kXmeRb64vTa8JfmxAYFFi/6adOYSPOHhCvewtRACV7hoskZcjxPX4yT0BLpy/Dc6e7SCmgkxXBnhT55/iPdUP0cqOg9Ja+N28038XmQnnZk2DKMFVYmSTq/GywncgoVXdvCKFm7RpjSSQ3JBb4gS6U6hd8UPy/eUP7gVo7EVI5J5qV/pqwLH9djSs43GeIqOho5jHzCyE5oWH73O6C7ILKDiCIbyVbobX1ruqNcDgaUm4FWFJMlIkoEs+46krltlePhXWNYYjlPAcQs4TtHfdgp1Xw2Acnk32dwGWl9GUeN5FoXCZiKRecRix7hgvQrYkCtxQ2MSvRYNWJIkfrejkT/cepA7zzpO8/kR0ENhXMdGCHFSLVljVX82zWhllOdHnsd0/GgoX73yqyiSgitcxqvjjFXHKFgFSnaJsl2m7JTxhIdtVhkvj7O9tJ/fDDyM7dmzvo8ma0TlEO/7VZnvvjmMm92HJzwSZzpc9Z1e/vuyow2xzPKEPvAPwD+c8Oc1FIO4Hqcp3EREi7BhaAPfuPYbrGlfA8DQ0K/Yu++reF4V28rjegUe43Iupg8Nh3T6IixrhDXVh/neWIx3jH273nZ39ydYMP/TqOmZTqnWaJjGxsYj9il3cDORpjlo4dfPQ6GqyKzqXsHgxCAHR3qY03SMHE+hBBSHIXYEx+LyuG/RkWX6sgUWNgfDTiebQNQEnHZs2vwJxsYeRlXjqEocVY2jqHFUNYZhNBONLkBV4ljWKHPmfJhY7ORaBQ7FH26IoWnpl/V9XikSmkJPdWYG4wnb5YLUiT8xCuHheVVkOVwXMS2dC+nft4mO+StPSn+fHnyaD937IQD+et1fH6EjMioJIkqKhJYmE2qkJdpIR6KZjlCK1lSSOa0LaAw3ElbD9Bf7KVpFyk6Zil1haOggajJKxangjI7SvPgFPrbyEmRJRpEVZElm+f98jYWf+RiV0k6Kxa1USjtB2IRDbaSSZ5FKrEJ2O5A8CUVSUDWVaNxAkRUUyW9DkRRkWZ7xeqA0wMfv/zgwGY5OYLomZsVktDJa/4i3PnArG96/AYADB75OuTxzyE7FxkYjkVhFtdJDpdpLuRohRhuG0UokMp9U8jzmzv3o4afvGAb77P7nibUuRA29Pq0KrelWNh/YduyK8VbID/gWm4YF1INdeR6M7wUtBKkuchWbeOjVa+09nQlETcBpheeZjI09DEBj49Uzw9ICufxGKpUDdHZ+EE1PMzT0S4ZH7kOenP1Um+rsT/nW6k63fuwG36HYD8Yg1aYwKyBJyJKGbU+QTJ5LJNJ9WL/C4U6q5uBpHz/meFgZC/O9/jHOKIRZGY8wUDX5//b387l5MSqVnmnDgLVhv5ojtGWNYJkjNadoP8FgtdqH65aRZQNNS6NpGXQtjazEGXzawwg3EI401Jx2wyhypO6EPbmWlXDNmTeGqsYOc2he2eSLI2t8NXbuHBA6wvMvXZJaQlYLSEqRRe2CbHWM/lKWA2xHUgpIahFJnhn6X0IlIqdI6BnSRoaWaBNtkQwt+SRdToHGoeeI7R3g0l0q0ZXvggVXYu7dS/ZdQ2RHv4Lj5Ekmz6Vpwadoarx21t8LgGO5FLNTM90iCR1JkymZDsmwhiRJPHDwAT710KfqdS7tvBS55qMjEHjC47G+xwB47N2P1eudd95PAY/yUC9uuIhlD9OS28LfDaY5J7wbzemD+Go2q1fyD4vn4pQMWluP/NsdHh6mqWn2wJHZA88Tb1+MciIzgV6DHHewyEQbiFaY2MeMefuZeSArfuybXJUlrYGV5uUg8KkJOK1w3Sqbt3yScnkPuj79IutfULLZ9QBEo4trU8Lt2kwguz4jyPOsWVo+fqTazKHJWUOypCErBqCgqXE8OwlMzV6SJmc1KYbvYKoYqIaObuio6syZTpPbkqT5afzqU6r9IPt+3JfJ19O2hXv4/loZk9vCq8W2mYyzM7ku43ozy6qOxb3OeQzaGVJ5m7N6SkjFFHpsGCPVg5HsQ4+OIClTwf4VJYZhNKHrTeh6I4bejBFqRdebcOwslj1RyxI+gWWN4bpFLKuA55YR2LhuBSGO/d1MihtVjSOEg+1UGCg20mv/Ds8PL+TRXaOHHfOVd53FW8+e8nmwXY+Rgkn/RJmtB/Yy5FbpyQ8xWBphrDJG1hqn7EyAUkRSC0hqAVktguQ7zi7uFVz5gsfWbpkmK8b8MZV1b1+AZz/N3JY30pPtYCgroRKhKvXQ592Ph40s+QkIpHoCAhlJKDjCw3FtjIpH2ALHiJA2m0mZGeJmhpiZxlIrLG66iu7ONCsWpomlQ8TSBqGodsShPHu0gtY4JTaGTJtv9I5gewJNlvi9ziZaDA3HcRgfHycejxMOT9WvVqvk83lSqRS6frgfT653K+GGTvTX0ZDTkRgYH0BTdRoTJzgr6hD2jhSZ2xBFeQ0lnHy5CaZ0z0Igal4/iJpVZlLoeJ5Vs8ZMBupTpgWT89eOU2T37n8gHJlLyGibNkXcwfMs30nZHqeaS/Dkdy857r5Iso2kWsiKCULG8zQQEp4dwUj2EO/agKxWkVXTX+sVVKOAUltk5SgJBqdhlVRye5MITyEzX8aIJcBL4plp3GoGp5LCrsSxKzGsUhirHMIs6thV3zwuKwLPlQjFoFqcalcPy4TjCpFEiEgiTCSuEUnqpFqiNHbFSDaFj+k7k58YwjLLNLbO8+PTeNPEVl1olab8plx/3df3ff7gvj+maB8evyMV0bh8cRNr5jeQieokwxrJiEYyrJEK64Q0P3OzWS7jWCbR1OFDh54nGCtZDOaqDOQqKM98i+3RhTxvxxgojpArDrGi7xnikQF+kVmApJV8AaQUkZQqkjzTLyddfTuO64EkkGUXWRbIkockeYQVhbO3FIjaaULlJuTKIIq+DGF0UFAdJoRA91RinkRSHO6384n/d9Ws59YeLqM1H2O2zTQKhQKWNSUsNU074vWw2L8bLZnBiL4+nIKPh60921ne9eLTlnieYN9YiQVBTJoTInAUDnhd4+cy8VPyKccZuFTT0px55r8ecb8/JTiPYbSz/j8fQgg45w1zaVt4+DRoIfyhBz/LuIVVNbFNCyQXSXbIDprsfdbEzHUhuXNwLHCs2Z8tNEMmFFMIRVVCMf+J3U9EJ2qJ5wTVYh+V7EbU8Hk4Jgw99yyy1o2iTUU2VTSZaFInmjRIN/rraMogktSJZ0K0zEug1qK8VgoWY31FCuNVKgWbct6iUrAo5y2yQyXG+qaCsF3+3iWccdmRZ4X0Vy3+a8JjOFdktTPEzR3Nvq+UemzT+5yuD3HVrm/zi51LaAiN0RQZRQiZshOj7MS5b3OVn2/sn/VYXZGJGAqm7WE6LpoiE9EVkmGNdFTnuYNZFjbHuGJxE1FDJWaozDXSXJKReMMZl1O2XMKaQrr3ATzb4v2db2Db/rvZeeA3tHTdzvymGJctzlCwC+TNPOlQmqQx+5T4Pc8Nc/93foRVjqOmuqks0DmoeUi7fsEv4hkUIdPpyKw0VFpcBfJTQlYPKVx886IjniPpBJ/24/HjG/IoDe1HicQDQXOS6ZkoMydz/CI04MQJLDUBAcfAtlx6t42z69n99G6tUCk4nPOGOVz4lgUvOinjoXie8DNml22qRZtKwaZStKgU/NfVokWl6FsGFE1GUWUUTUZVZQ48/xMWXngzmqGhh1S0kMKWh77HhW//COG4RjRpYEReWiqJ6Yz3l/jh3/jDgM1z45x7Qzdzz2hAUacsDMJ22Xswyz+P9fJ78c1I1noeKyXYxQL+oKkPVU2gqQlUNYnjFmhufiOGfuSZNwCmOUKxuJ1iaYe/Lu4gV9hHyVIoOxFsqRNXWYgjdWPRjis1EYs04JXLGPEkRdMhV7GZKFn8aEMvAPObopRqaQss0+SL2rf4jnM9W0U3y6X9/K7yG/7M+SguCqrsYSgWiUiKiK4QNVR/ratEDZVMVKchqpOK6mSzVUa3TaD3VEiVBaPVB7mv8WL6VY95yTBn6iG69vyKsL4Mqv7MvWjKoKU7QffKRjqWpEg0HNuHxRmtoDaeXF+Xylg/QnhEjpGs9PXGwPgASND2IuPzlEyH0aLJ3IbXp7P1SyEYfpqFQNQEvBi2Pt7PQ/+1/bDyTLtOOKEQTWlEkylUTUFRpfq6Ljxq4mP6WtUOL5ck/6lbUeUTFkoP/cc3uPKW35tR9s1bP8xH//XbRzjipVMt2ux8eojt6wYYOVggFNNYtjJDR3iYsvk0Bfl5vtO4jDeq/0PUqxDKd6M4cb6TvITrtO+TPiS7cUa6isWJL/iJDWtJDpWIihRSj2qN8DybcmU/xeJ2SsUdFIu+4JnMdSVJGuFQN5HQQlKZM4nGlhCLLcXQW2aIvJGD+2nsmsvBoTHEs/9FrNxDOdrFwbk3U/RU8uUCm7b/I0b0PCLxyylZLmXLpWw5lEyXYtlCG7VITThkTGh0/ajVlYxGZGGc0NA6Usnl2ONhxvqKIEDyHmPhhTcyZ3kb7YtSJBrDCCHIDVcQQhDPhFCPkTzwUJ+al0o1N4xTLRJreWkJO08EIQQHqhaemEq+4SFIayoZ7dQPJniex5aencRDIbpbul9UG0IIdgwVWNoa3HteDMHwU0DASaJrWYZY2mDO8gzxhrCfW8j1sCoupZzJWG+F/l19CEfBdQSO4+HZHp734p8VJFlCUXxhJCs1oaNObvvCabJcUWVGD+T45dfWEo5nUBQJ4VUIJxfx1C/3oodV9LCKa+fZu+FeFE1BwmXRhZfSvXIlmqGc8BAGQCimccaaVpbMizO2vZdt+k1UgN3T6tjSucyLXYdGgmqol5K9m4LwGKGFjFchXFlIuDwfvdBGvO98Jio7Z7xHgQovaAdQFAVXEcylmS6vEdlQ/MzOYRXrYAF9TpzIvFVEQ+fQGlKRkwqkPSrOfsrFvZSsXeRKz7M3+wieKAOgqilisSVoagOOaWNEkoztNPxkpYs1clIHkqzQKd2N61UpOC/Q0PkoZ6y4iZaWqRAC1ZLNtz/z2LReyyQaQySbwhgRjdxIhZGnx6l43VSce+hYeiHnv3EO5exWGjrXcOaV58z87iWJVIs/PJEfq+DaHpGkgRE+wqX6JD6TmsUxnFKeWPvCk9bmsai6HnsrJgsjRj1u0iQjls3+ikl3+JVLhDob2/t2s7RjHpr64vuxe7jIoiAmzStCIGoCAo6CY8hYN7TxpQ295HttooZKWFMwVJmwrtB9RpTuhhSabBM1kuiqjK7IqHJ97gsqoAg/p5AsatueILXvx0Szm2vZv3XGF/0BDhHfZ6aWjNF1/GSMu58eIjtYrvdLD6v1LNOCC+jd1osk9QMC1y2jh89n4/09/vGOg12+Dy1yFZJkIIRg1zM/RzH2IiuZKYGkHWJF0mQUxRdTkgQLclV0T+BJErrrYdSyM3uKBVdPnTMhZECwjHX8TyHFVdIDRCOL0ROXEa6exzvnXUs6sxxZlhkZ2I2qhsg0z0U4fg4jr2xjF0zWPXYv1y55A6ol4ZkOT/Y/T2NTmCY9hVe28SoOwnIxd2exB0t4VRecQ/MYdRClgyhX+AkgdYHQHTytgqPk8bQywjDx1AqeVsFWywhRpND1FEIy8YSNLOuEjDba2m4mmZwpQrTQ4ZaU/GiV/GiVWNqgY0maM6/ooGNxmkjyGvZv3EA5N8LCc68k03704Z3J4adSzqScMzEiGpHEITOUTtKQolWawMyNkuh4eWM+Hcq+isnyI0SxbtI1dNuhr2rRETp1qQSGymMsZD7OyAhe2f8PyvE4aub4/I36sxUaY0Yw2+kVIhh+Cgg4hJ7xMk/uHeP+bUM8tH0EgeD6M9qY1xilWHWoOi5V26VsuuweKdIzXsZyvBPKn/1G+UlCWPzUuwyAdkb5A/1uvqx8lJAmE9YUQppCWFcIqQqloTLmhIUKqALaO+MoHqieQPXA8EB1PHQHDCERFhKGJyE5Lla5D8/OIamL/RA9gPAq2OV70WNvRaqJI4QfG2XGFUFQHxN4S/LwYGFZRzDhepgCbAG2EAhVxnJdLMo83h3mYCyK4oKtwMXbqqTKHmvevoBzrvMdmfPjg5QKYyiqTnOH7xTb29vL2NgYq1atqr+XaZr88Ic/5JZbbjnieRWOh1d1sAdKft9lCWG5CMvFKlZ5YsczmKaJcAQRSefs0GKoujijFYQ5NX294XdXEF5yfDcts+IwerCAostouoJm+MukY/fJolqyqRQswjGdUMz/LtySjSSBHHnxgdysUo7qRD+JzmUnq6vHRX/VIqkqRNWjD7HtLldZGAkdtc7LyZatd1MYC2Gnkyyau5DWeBo3m8UZG0NtaEBJpY547GjRxHEFrclT1//XAsHwU0DAi+B/fWs9a3fPjIHSkQpzy0XdLGiOkoropMIa6YhOIqzNePIqlfZihLqxXYHleliOh+1OLZbjl9uuh+14zHnqHl4448+5CvAEVC2XNet/xHBHlBERR5F9nwzTcanaHiFZYm/WxJHAQdA7lMMGbElgA84R7p2KDEY0huGFCFElJCQMIWF4Hrq2gohqExISEVkmaigkDJ14SCUR1oirMhEhUSlaDA1XuDtrE1UlujIGTRGViCaTkiRSlusLAstFcicVkQwkuXwIxJBNyROUXEFFkZG6wszPhDAP5lHiOvF4M4lMK2alwFDvdlo6l6LrOqZpzvgspmmih5PsOZhjwZzZZxpJqowS01EWTT3ZuwWL7C/3sPbgsyzy2kiUdXAFQ7E8z1a2ckHHSpyRMqgykTMbiZzXgjH/+JN7GmGVjiUvf7TpUFQjFNUoTlQpZT2iKQMlqmGPVl60qLFKOSrjvSS7Vpzk3h6bqidoP4agAUgoCgXHJX4cdU8mJTPLrp33Mye5nBXL/aSk24Z72Tnaj6HonD9vAe7AAEII1PTh33/JdCiZTuAY/AoTiJqA1z1Vp4osybSnpp6mOlK+0+Z4yeLvfn14eHRJgkRIIx3RSEZ0dNlirHSQiu3SkQrTmQ7TmY7QENMxVH+4KqRNrTVFoTOlo+s6luPx7IEJnhoSfKt3kPI0J9qorhAL+bNrkt1xNAGu5Q9J+f3w1YzleZQcl5LtUrRdrJpPjytBWZIpyzq+6WKa6Ah1AofEwbFqS/6QDxzyl38QYRZavoCZbEaOashxHTmqIsc0lFQINWkgxzRkQ8UrWsRHKjgjZYq9E8hFk+KPdzItHA5SSEGJ63iGoC+0HhGS2Tu+mVBPic7upezLldi072mWnb2GQsnm+R2jtDdFaMpEjphnarI8d+9+CptGeaI9zIaFLTT19bG6b5xMqYEn1D7O3NSB1h6l6SNnviSLxytFLB2ilDUpZU2iKeNF+9UUhnaByykRNDDlFHwsUppCX9V+2UWN6zlsG3oMVfYFsa6EWRY9B2POlNP0suZOltFJ2TZ5dP9WFEnm3HLpMFEjhKBnohw4Bp8CAlET8Lqj6lR5fuR51g+sZ/3gel4YeQGAuB7njAszZEIZ0kaaTNhfJ/QGdJFCJYnkxnCdEAOFHPmKh3DDVEyZYjXPqq4MIU2hP1uhd6LC+n3jTJQtTMc77L5zjtTN1Ztu41+cm3FQuUjezIVyM2V8YbWyI8k7FzaRH61QyFYpeh5VVaaiSkgpBUmVT8ifwnMdRvv6sG0HB4lwpgmhaDUrklef1lw0Har2oX4pU6QPSWGAB17BxivMniASCZSkgZLQecreQdecdrrb5uKp8OzeTSxsm0cmkULYHl7Rxi1a/nrE4qL8YjYP7WfHc3tRkLnQ7SC+q8efIRXXKasSOzQZKa4R730aWR/HEktwyxmc534J1RxuCHAcvnbTe2nJWrx77ThPxDS+3T2fz26rkhC+P4fbJb8qBM0k0ZRRFzbhmI5bsFDix+d3Uho9iFPJE21cgBo+dakPjleKDVkO7S9znqSyWeGB3T/njctuRpH926LV24vW1TJr/YhmcMX8M7Ach/XbnkU89zirz7wQXfWP3dSX44z247f2BZw8Ap+agNc8tmezZXQLTw0+xfqB9Wwc3ojlWWRCGS5ovYD5yfk0RZooWAXGq+MzlonqBOPVcUzXPKxdwxLc/LhHXIRIqBHKc1s4cMVidNVAlVU0WUOVVRRJxfMkipZJf2GEG+e9nSXpM5AOPk10y0+QTAdL6iYv3oAyZhLJWciTz7GyhNYc9gP6jVagNrwjR1TU5ghaS8RfN0fQO2Kv2I1ZOB7Zu/fiVRwkRcKrupj7cojK7BGQnZDgOW0/F0VX4BZsvJKNi8cj2lauss8ACd/KkzBQUgZq0l/LCZ2+wiBzmrsQQlAdzbF1IEdu/Vri48Mkge+cez8PxAr19/rM+jSpZVdhLJRB+y57xs9k3sNjhG7uxy00ovVdyHPqGryKy+qhMMW8wvbcOq760K2svPIYWZhPM0q13FK67aI1HT2oWyU7iFUYJZzuRI+lXoHeHZ1x28EVgib96L/ZXaUqi6Ivn0/KeGGEnrFRkokGDmRHiOgG53cuxDpwAH3u3GM3AFR27eJZ3cH1XDJGC3MzqSBh5Ukk8KkJeF3jCY+dEztZP7CepwafYsPQBkp2iZgW47yW87jt3Nu4oO0CFqYWIh9qeZgFIQRlp1wXOjkzR8pIoXzlDvp//3x2h3JsHN9M+zMDJB95nufOTuB4jr8If+0Jj4HSAAj4Pw/fCDwHqDi8CwAz6uCkhploNyktNomEYlQaXJ5yngNVwvZsLMskXNBIFEK0lhtoqWRo3J4g8XQYxZMRCIZCOfYqwzhzNVasWsXKlStPqrPqJJIqk37rzKm/whN4FQev4mAPFLF6itj9ReyBEm6pjOwIHNNEa4uiLssgxzTKWzeTuWYpXsXBzVt4eQsnZ1LeNY41YbJO28iP0g/SWUjSlnPJG3PoH7AZ1RvZ0nwhv6M8xHOVhRB7rt6Psfwo/5T4CQwDRIA9/OMWh59frdGsTbBs4a8Raj/PcT5nn/kN9v70gyjGSjY/2v+qEzXRlEEpZ1Ip2miz56PELI5TnejHiDWR7Drjle3gUchoKjtKVVKqinaEmUEDpkWD/vLdpjzP48DoEGfP889Ld6aZfLXCw3s3ERoc5oKuLmT52NcIRde5eO4iClaB4dIE8dARvoyAl50T+rXcfvvt3H777ezfvx+AFStW8LnPfY4bbrgBgD179vBHf/RHrF27FtM0uf766/na175GS8vsJjyARx99lC9/+cts2LCBgYEB7rrrLt761rfOqHPLLbfw3e9+d0bZG97wBn7zm9+cSPcDXsPsy+3jlt/cgiZrDJWHADAUg7Obz+YjZ36EC1svZFnDMlT5xC+QkiQR1aJEtShdcf+m55kmI8l2Vqx+L9cC5fJ+Ild1s+933sWf/uWds7bTX+znG89/Aw6J5ffehX9GwSjXLTuqrZItZhGjvlWmJdJCS6QFXdExwgZjUYPtXg8Fs0DeyjNeGWfBRDt/2Pt++pxxVlcXIm2VeKG8jeFnDnDh3FW+f0tUx5ibQDl0WvBJQpIllKiG078fLztEbM0K1PQ8hBB4BZtNv/gFcnMD6rjA6imwdWwPK7xWxu/cgdoYwhmuIMc0DOkxYpWN9HhFMpUWLh/8IDnpXgbbouTN7TzZ8G4Wl5+nvdLPkngvPxp9H2L0XYBA0iboLvw73aPN7E1kkfVxAA42SDxU8DOyZwixsO1SblR/iOou4cxLOjnjircSb3h1zlCJJg0KZZv8gQKJuVOxUOxKkfLofrRw6rQSM9NZHDHYVTZJqQrNxpRlwxOCPWWTlKa8bAH4LNvihQNbOWvemTPKE6EwV8w/k0J4gMc2PYWSTJIOx1jRMrvgtQcHUZuaKNtlRiojLEi/coELAw7nhH4tnZ2dfOlLX2LRokUIIfjud7/LW97yFp577jm6u7u57rrrWLVqFQ8++CAAf/mXf8mNN97Ik08+eUS1WyqVWLVqFR/60Id4+9vffsT3vv7667njjjvqrw3j1AZkCji9+Py6zzNeHZ9RZrome7N7mahOsH5gPelQuu4vkw6lWZhayKqmVSjyiTsgSoqCsGf6kQjXRWtrZbQySm+hl9HKKLIkczB/kP35/ezL7eNg7iAXxudyZmHKyvGD3V+i2gZaU4RQRUOLh7DkKkIFzdARoxbkJD/OCoDrYbk27kAZ2YRvdv2UolNmnzLMGmcxZd3EigvOKS/k/uIG8gONUPb8aVY1wisbkXQFvS2K2hTxI/gmdOQXOQ25bJdRhcT4//1n9O5u9DldjP2/rxM+axWJG25ASei84R1v4tFHH8VLejhxj43phZRCafbtHGNiT475uLy1fC8tEqjuh9mm7uUqCqxK3c+W4jWMj0TpNXo5r5BBiEupFr/LUKKD/6XdiX3A4Kcr47jlBYiWDBc+0sr2JR/CkWWuO/gkTVckWLWonSgltNiFXCiFSW1fgNrSSdtF80i3vrpnqMTbYhT6ChQO5ol2xij0bUXRI6etmJlEkiQWR0PkbIe9ZZNaZAEkYEHEQD7JVsb+8UEmihPIsoymaKycuxz1CAni4m1trC6VoGMuw6U8j+7bQkjVOL9zUf0/4gv2AlJzI325fSxKHzlPV8Arw0v2qclkMnz5y1+mq6uLG264gYmJifqYVy6XI51Oc99993HNNdccuzOSdERLTTab5Wc/+9mL7mfgU/PapmgVGauOYbomE9WJui/MhDltuzpB1swyXh0na2bxhEdMi9ESaSGmx5AlGQmpbjExFIPGcCMtUd9S0hptJR1Ko8oqFadC4Rt3MNARZstig97xnZz5yz080VXhhY6ZYieiRpibmEt3spvuRDcSEn3FPiayY6QGDKJ5nS6zlQ6rmaxSoEGkkHSFmBwl5kYopWzGyyb5ElQtBcsDSbK4ym0A/JDyMhJPqDu4yPGDp+mdBo0fOYfv/vC/eN/73oemaXgFi4G/fwpJk9HnxPFMF7u/CIf4BYfPbERriaC1RlFbIqiZMJJy5JvLz3b/jL98/C+54gUP2loYWtJIR6yDC3YKlt71PMW3gbXoII4Upao2My+1lP+pns+quM6VTW2c9+WpBJmfV+/gr5zfrb+eh8zXtS/xpP1XLERmrf4k77UuBiBnl1hb0uvzt3as+DTn26M8b+j8wTnfxrxnLZoELVddRvzyy3E8wZjt0KirKNNulrmiyf7eKZ8cTZNZ3J1CVY497HC6UegvUh7eSuMZZ6OogU/HJAeGD5CvlGlNNdCUbD7u47xKBaunB2ORL2SKZpUNfXswVIULOhZh7dyJsXAhu4v7WZha+LIM9Qa8Qj41ruvyox/9iFKpxJo1a9izZw+SJM2woIRCIWRZZu3atcclao7Gww8/THNzM+l0mquuuoovfOELNDQ0HLG+aZoz4lzk84fOUQ043XE8B9M1iaiRY14sYnqMmB477rZdz2XLmO88PFYZo2AVaoHnRN0PpuJUeGH0BYYODDFhThzeSJvg2s0aKx4Js0ALMXH5GpYsW8PlkUYuaWihJdKEJzwaw41H7b/jOYyUR+gr9lEs9bMp38PG3kG29dkMj6WwexaCF0bXTDpacjRGQ9hWlP+qmIyXBNmiRQLBn4gx9ssjdHtNWL0mOz7/IBHFZd/fP4MXUZHjGsbKBmKZMKF0CCWmIxmKL1gUCetAAWesgjNcpriuH69UkwuqhNYcQWuLobdH0TpiaG1RJF1BkiT+772f54IDacoqMOzQE91F494tPOnAC90eF7TZJABVlIjZ+xgZ2cdB2rmy8G2e74e/u7iZnN3Jf1Xex9zBKqmiIFvxz9c+PMaw+BwVAFLWCt5bO29JLcrZ8W0U2pcw9+wUn+j6F2hbxfsjtaB5a66ccZ5VWaLFOPxGn4wZrFo6dd0yTYftuydwxVQyooVzkkTDp79IMBp0qlIyEDQ1+sYHGC+M09XYydzm43P6nY4cDmPMn4+1dy+SoqBLEmuUGOWKyROPP4DWPYeWch/tsfZA0JwmnLCo2bRpE2vWrKFarRKLxbjrrrtYvnw5TU1NRKNR/vRP/5S///u/RwjBn/3Zn+G6LgMDAy+pk9dffz1vf/vbmTdvHnv27OHP//zPueGGG1i3bh3KEUyHX/ziF/n85z//kt434JUnZ+Z4vO9xHu59mLV9aylYBUJKiIZwg7+EGmgMN87YbpxwiP/sUaJaDCTIfOCD6J0dR30fRVZY2bSSlU0rj6tfpmsyVPLFjeM5GLJGuLoFZ81OwpE5DHjN/EduDhfHTSQ5wVd7i/zZnDFSZBktPYckaciyXltrSLKGhEw8vhxVVmmLtdEWa+Ot//Y4G3sUoLv+3lcubeSWi+Zz6cLGWZNdVm2XwnM/Y6w8l8eHozw1chDbdGkuHcSUzuIe0yQ8XqFhXCaDRAaJNBLK9EghsoTWEiFx9RxCb1mAJEm4RQt7sIw9VGJ4/wClnh6Sz2konoQQgpIHeWHyl+ZHWNc8xMbUZnrDe7lwa4qFAyPccb0MyNw9oZIsJ/g/v/Uof+Iy5odk9PEmZEfH8yxao8O0MkwkdSOt4lm+2/X7jDQYuMZb2f9sioI4izMsmfGiyTub8gzP9Vh+2dWEkjE6ufS4vr8TwTBUzlgy9cDkuh57DuaoTIs43NoSpSV96qZDH4mJ4X00d75yuZtOd8YLE5w59xhxeIrDUM3PDJGghiDpX0MkVcVYsACYin2kA5csWcyu4SyGLIhqr+7hy9cSJzz8ZFkWBw8eJJfL8eMf/5hvfetbPPLIIyxfvpz77ruPj3/84+zbtw9ZlnnPe97D1q1bueCCC7j99tuP3ZkjDD8dyt69e1mwYAH3338/V1999ax1ZrPUdHV1BcNPpyH37r+XF0ZeYNPoJl4YeQFXuCzLLOPyrsvpTnQzXh1nrDLGWHWM0cpofXu8Mo5esfng/R7fuU6mrXEe58ZXsPqHL7D9lkuRo1EkSUKVVFqiLXTEOmiKNJE20sT0GJp89KfZ0dGHUNU4AoHrFClX9lMq7aJS6WFi4gkADKMNyxrjW+IW3s8d6PhDTyWi/JR38n7+47jOQTS6CF1v4ttPt/GrvZcDENLkGTFj4iGVuQ0R5maidGUi/nZDhBVtSZLr/xFWfxzCqalGn/42mHm45DZMx2U4bzKQqzKQqzCQrZAdKbNj7wTliQrnpaLc0pzG3DmB1hpFaQxRFBN4EjxXPEBLVzuRUJjH7n+OTrOd5UqK+CxDUvtNl43O8yi5XTx5psWuxE4KxhhI8Nffc/jr/+U/R5USb2NVxOI/L/oA+fwL/Hw4S646xLXaFtoHSoRyExjhRTipM3FWfoBQJEo0enrcOIQQ9A+UGM1X62WJuEF3e+yUP60PHtxK65zlp7QPpxObDmzjzLlHSf8wsgOiTRA5JCWGWYCJA9Cy4ojxoHJlm5Ll0J46/cTta40TGX56yT4111xzDQsWLODrX/96vWx0dBRVVUmlUrS2tvKZz3yGP/7jPz5mW8cragCampr4whe+wMc+9rHj6mfgU3N6MloZ5cr/mTlMkDJSLE8vo0mkSGdaaIw2kglliOtxqm6Vil2h7JQp22WM365jT6LC2uQww5VhAFbt9ZgzDM9e04UnPGzPZqwyhjhCuK8rOq9gXnIe7+yYTyn/LOPjj4PwqFQPzlo/HO4mkTiTluY3Q/Jybj/QzxNjg1xm7OdN7Uvp1AoYejOXbczz3cKPsNR+cvLTCOkIAeoOIRpdzOoL7/FvniMTjFQ8+vM2B8bKHBwv1dZl+rOVuu/vexKbaU+qDHVcR1MsxPp9Y3xS/hHL3vyHxJvn1m+2rhDITEUi/uff7uT/e2AXAJ970zLeGI/iPH0A9vgPBBuV/XR7TcRdA0VWEQgeVbdxkb2YsitTcPJUPBlFidKgyjxfdhmt7kG4WdTQVPLH1Nk7YPe9fGVVH1W3ikBi7txPcXbHdXgCVsUjvKtt5o1lW+8OlnYsPuVC4XjIZqscGJyKkazpMovmJNFewdD+nucx3Ls9EDXT6BvrZ6KYQ5blGdpEAtTcQUpGilULz5/9YM+F0V3QvPSwXbbrcWCsxMIg8/Yrwisap8bzvMNytDQ2NgLw4IMPMjw8zE033fRS32YGk8nu2traTmq7AS8P1ZLNgc1j7Ht+hJGeIuGYRjRpEE3qhBIan4r8FalMHNuokGWMia2bsXYOkzeyVMd2sCHtMJgQaK6B6hlIQsLTbETE5uyJUQpajIbWBjLhDEII4lovQioQ0SK8dcFbedP8NxHTYwyVhhgqD5Ezc+TMHH+97q8BeLj3YR7ufRhv0OTsiHv0DwNUKvupVPYzNHQ3FSnOFXqC3d4HuFp7hKcPPI8d9SgVd3CGdT7Dxo/Rix2kxq4gPLGEcHYhmtKIV7Fw9SKunsONFHCTRQg7xMVKoqGF7Ol7jmdHttGYzlARFnrY4KOXX+77wdQcWC3H4+B4mS39OTb1dLNo91fRt/fxWL6ZNfI2fi4aeNe/bEFVtpIIa37uqqif1sFUoLdscXD3lK/Q4z/aTcVSkSpruanNF5oVySIlon4qJ0BCoiRVKcpVovEURRrYuONnaJGrcKrPo+iLca0dNM59M4UxByEkNMnhIitC95d+wvuOMFx8JF4NggYglQqRmpZmo1p12LE3izupOiWJBXMTxF7GgGyjA3toaFvwsrX/aqSjoZ2OhvbDd3guhFX2OQrlaplIaJbAhbICoaQ/NBWaeSPdM1JkSUsgaE5HTkjUfPazn+WGG25gzpw5FAoFfvCDH/Dwww9z7733AnDHHXewbNkympqaWLduHZ/85Ce57bbbWLJkKp391Vdfzdve9jZuvfVWAIrFIrt3767v37dvHxs3biSTyTBnzhyKxSKf//znecc73kFrayt79uzhT/7kT1i4cCFveMMbTsY5CHgZ2L5ugA2/OUC1aFMt+RaKhs4YLd0J8qMVynmL3EiFct6kWsgwCICG55hE7BYS4RtprLXVOfgwaug8JPlwR+CWuTG696/lrFt+DzURwy0WGXj8b9l729VYfffylWe/wlef/SrfuO4bnNtyLl3xLnJmjt5iL3E9TsGamvWyR72A9y17O5Y1SqVykFJ5L9ns+iN+xgFacYVC2OzlMn7Iv+SuZw1r+XUxzRb5DXwgsYm27PuJhBdCKYIumvAsUBo14pd3ojWGQQJn3MQtWHglG69oYY4XWD+xgUvtpUj7AKL0ymM8uv7nLHbbkcIqSlRDjmmkohqXxTSuiEZRLvgrLhc9fNDu4xelyxh2Evx9Z4LBkoVse4yXLMZLFtvH80wUyyQVh7eeG6KUbGWpESH0Q98yZQmbX2ZtojKMR+HRapm0tYmm2Pm0ajJxESYposhFhw7gg5/7Qx7+8R1MDI2Qbgux8urfZ+F5r++bayikcsbiaX45jsueg3kqlosk+ema2lqiNJ9EvxzPtdG0INTFcZE9COlu5iKxo38XyzqXzF4v0QZje2aImt3DBeY1Rl81gvv1xgmJmuHhYT7wgQ8wMDBAMplk5cqV3HvvvVx77bUA7Nixg89+9rOMj4/T3d3NX/zFX3DbbbfNaGPPnj2Mjk5lQn7mmWe48sqp4YdPf/rTAHzwgx/kP/7jP1AUhRdeeIHvfve7ZLNZ2tvbue666/jbv/3bIFbNacJYXw9927cSb2hk7sqzkGWFB757eBLIsd4iY71TJvoFyw06F2WIpGMoqoyiSvRs6aV9yY1oRhpFldDDKoO7TXIjPax++/9CM/wZN2bZZnygxPMP9LC+fBZb/vwRVqR66YpO0PLJT9LZ3s5li65j/cB6PnLfR7jlN7fQnehmpDJCyS7N6FdYDXNW01l84dIvEpNdhHAwjFakWrRhz3MwzQEqlYPTlh4OlCSGqlU6vV7msY/38V2e4BI2cAGf8v4vRt5iYHJW8LQRAdmNEBqeR2THUsLZRSRaV6DHG5ENhfRbl5Mt5pi33aRrzRo8y8Ur2jSXbP7tzm9y4ZWX4xbtmgCycUs2Vm8Rr2jh5iy8wiDW3gc4R1I5x7MR73wriz7sB8d8buMtjI8/xh2tH+WzfLPeH4HCN6U/5RPv/C1NDe9ly6+TNM5rY+RACb2viwPhXfSZ42hmFi80xtVvvoDm9BwqToltLzyG+cR2ll12OUvXXIp0HNFXX48oqsLi+VNJD4UQ9A8WeX771LUwntCZ1xZ/UTdLx7aRT9AK9rpGeCAryPjfxVHxplJ/DOerNEQNjFc4Y3jA8RPkfgo4YayKg6LKyKrEs7+9h1/bCrm2LuRymbO2Ps07b/mQP/TgCVzHw666WKbL4FCRO+/by+ICaFqRWBKcMpTNCK7r3wxdayeKGiLZuoRYOkQ8Y1Ca2EhD5xzmLF9OLGMQy4TQdP+i4tguz913kKd+uQ8hBK61iebu+TTPW0SyMYza4HLH+L+RiMaIh2M0hZvoiHXQEe+gLdpGXA1TyD/L4ODPGRj8yYzPedWVu+rCZjYcT/Cp7Qf5P91RIk4/wxPP8U8jLbwn/Awprw/LGse2JyiX95zYCfYUso//by5tuZTGDyxH0hXyw1nWP7meSxefD4rEtuw+Bid8H6K5c+cSatDY+W8PEHv2HrZcdA5l3WVxqYulPduZ+7d/hNbezgMP+taT/+RDfIDvkEyeg2WNUakc4M/4Z76E/0CxcsH9PHvPL1l1zfW4nmDDr39N08pVRBoa6O7uJpl8+RP15UujZCsucxqPHI38tUY2W+HgUKme/FTTFRbNSRyXX87gwW00dy5GfhGBJF+XZHsg2sSesUGiRpjW9BF+Z0LA+F5oWIAQgj0jxcCP5hTwijoKv1oIRM1x4Lmw92HI90PXhdC0uL5r/S/28syv9yOpVeIdz2Hl27BKYX61ROO8fDtNB6qUdPh2ysS0PM5uiNGYCdOYDpMIqyRCGvmqzT2PruMdymP8i3Nzve3fk3/JNv0CiC2iU1No3PNrok1nETHasEf3UhnfDcplM55gQ1GNaMogN1LGsTwkycS1CyDJpJsnqBTGkbQ1mKWppyxVl3EsD/C44ZMypvQAw8P34Di5WU/H3Dm/R3f3rajqkWfdjFoO/35wGFt4WHaeW+bMY1ns8CEFITwcJ4dlTWDbvtixrFGy2WfI5jZQrfbMqG8/cRtyJcN8t5WyZPKCeoAL7IVE8K2Tblii8cZFOONVHtryAH+Z+hfO3eVhqbBp3pQQ6xoRvPFpj/vfs5jvv/H7hBSJv9y+lTcam0lWN2DbWQ6oq3jKPZPPLuggGlmEohhUigX2bngKgHlnn0ck8cpmHH41OQm/XJgVh909OZyaX44sS8zrShCbJV5OMOvpxDgw3Is58DyN81eTiR853hnj+yDRAarOrqECC5pis4ZVCHh5CUTNLASi5sjYQ8M4/T0Yu79JdfEbkBrmE977W99J7oKPAvCdP36MSsGmcdldtIfvAQ/65jWyXruIN/NzSnaY//3QPxzzvd4mP8Zu0cEm4edH+fAl84iPb2JN/3/yaT5DX7aCLFwWlvaQtrOM6E3sjXQjI/Enly3gxkUtFMar5IYrFLMmiYYQmj4IVNlwr0q1aPO2z5zD0N61tC9cSrWaZsujfex7fgQj2Uti7noSc55Ci0wQCnXQ0nITLc1vJBZbRk+5wLNje4kVH6LF28fw8K+QJIWuzltIpS+kIXM58hFyR5nWKAgXwzg5lgWvbLN/6x727NlDWA1xxuLlGJrO2H9sZVwqkBFTT4vlqMVfNd7OioqEWc3xq65RbM/3Y5o/IFi1V3DXxTLr3rOOmB6j7Hp8ed8AlufPB4urMm9vTrNkFjF2qtjWu+PIfg6vUzzXY+/BHKXp8XJaoyRUh0p5hGRDN8qrMAryK8nBkR5y5SKdDc2k3QpokcOnc09iFqE0Apl5DOerqIpMJvry5E0LODqBqJmFQNRM4bpuPRfXyFe+ykjVo1LYzsHtBX6YOIenW/0nvj9R7+Qtv/93dHTO8SPtDg0x9M//zHj3PgqV53BeSPDU9cs4p+VJKo7BrQ9+GQA15tEsBrFcg5BaJeyqjBaj5EImZ7n9LBGD/DdX4An/ifMN8lOY6DzsnXXUfn/zA+dxdiLCY/+9i/5d2Xq5U92Aoi9CkhOc98ZuOpak2fCr++nbvh01vpj0/GdIzX8a2ehBUdK0tryR1tabSCbPrVsCvtU7wrjtsDoZY0uxQtZx+Vi6l+GhnzM49HNctwxAODyHanWAZOIszjnnh0iShOeZVKv9RCLzTubXdBie5TL67c08mt3IRe4SvOLUFPFfac9y89JrMF/4L1K3fpyt2ghbDmzjgjvXMf+v/w4jmT6svclAYgcqJu2GfsRMyaeCrT3bWd51+FTaV5Rq3ve9CCWPGKvkVOLHyykyNDFCKGEhSVLdPyQda6AtHWSKnsTzXDbu38y85jmkY9P+C9mDvoU6c8h/N9cLjgkNC7Acj56JMguajj9iecDJJRA1sxCIGhgfH2ft2rWohspvc79l7vZeRuUI/xPKcLn8PI9YF/CxJ7Zxx9kXUqaJT7kPszYuM/fCDl4YfY533VPk2ZuWsM06wHB5GNUR3HK/yv9cJmPrDssKKhOZ6wmn9rFU7SWlSjw+OsalvzaY99efp2Dn0WWNZU/9F+6zI9x3w2o6cxPMn+jn3sVvJ6QZSBKMVEb41d5fAfB7qz7KLWe+mw0/2c22tVORqc+4vINUcwQjqjJyYDdbH32O1kWXMj5QwqyOEe/4MS1njCCFdiHLYZqarqW15SYymUuQDwm6t79ictfQBLd1t9bL7hqaIK0pXJFJIIQgm11PLrcR2x7nYM+3AZAkFSH84a329neTSp6HrBhY5jDVaj+WNUpLy400Ns6Mw/NSeeSRR+ju7qartROrp8C2LVupag6rr70Yr1pm/D//EzeXQxghzHf+Dt1zOo/a3s5SlcXR0ytD9SkTNY4FE/tAUmozXiQ/gKHnQmoOaKfXeToSY/khhnITuAWX7rhGuKkLNXT6WOJeSWzHZuO+zZw9f+XsySvtqi9iJoWrEBBvBcMXMTsGCyxpDfxoTiWvaJyagNOXXC7H+rv+B8mxoOyxd/9+3nLlh3nz0AcwhckHd7n84moZQ5J4EjD4FZVGl0vLu1l7hlyfH7PtwEYAxk2XR7JP19t3VIlV+0y+db3/M9rddSaXLLiU+cxl38QBHh7fhuuGaYuG2PDUUziGhKqH2JS6kHfvvpNzRvvIpVt4asGNNCsSquyhyRp95gCy7sdPWdHSRjKs4TkztffmR/oAkFUJVZWxzCL58tdoXz2AktiFJEk0NFxOa8sf0NR0DYoySxyKybYKFdakZj6FnZOI8OntPVyRSSBJEun0atLp1QAsWPDHjI09Rr7wPMPDv6Fc3k1//53099/p90nW0bQGTHOAwaGfM2fOR1kw/9PI8skxXV966aU8+eSTbNmyBYCWzhZWn7MGSZJQtDhNn/hEvW5v1WLMcmjQZ/+r7ypV6XgZY6e8GCpmhdCpmJpslf0n90ODrcVqFo+Rnf4UX+P0v8E1JFrI5wwaWwyiaYNS327sQgEtHsdIt6LH/BuD57kgeM3OnMqVcuwePMC5C1bVrdOHoYWgcfbUEqbjEtFfm+fmtUpgqXkNIoTgNz9/iIGnnyHVMo/uA804SoVBcRApO0CqfTHfb7yH6551WdteQDS3UJrrkS3v4KIHioxcOY+boklGmhfzw+wWLum4hInqBIv/41F++8YWRimSM3MUy1nee0+Zb96gkNATLNNXsX+gh1xohKo2NW36o/e4/PjiMLaugpBY0ifROery+JoERlStR/11PAfbs+tTrn9y009YnF4847N5nqBSsChlTYoTJoXxKlnn8zjqQzPqdXZ+kET8DEKhTmKxJWjaIY6uVhme/U/IHmA01sWdrW/i1oVTCe9+NjRBQlW4qmHmb8XzBAfHy2zr3UqubFMZ/3fO727AEw6uU8RxSzhOgUplH0JM+T6cd+5PSCbPeilf64tmwLQoOh7thka0NpNmyLTJOi6d08pOF7b17mRJ+4JXfibP8PZZo8fOrLMNmo8Sdv80IVc0yQ6VmLvgcH+R8mgfTqkICDzLQngu6SVnv/KdfJnZ3/cI+8cFV5x5xYtuY9tAnqWtL26afcDJIxh+moXXlKhxbdj9AJSGYe7F0FBLtuZ4DP7jM2zK9bNrIoFdfggtMnPow8z/Fy3p93NpTMX0yoxs+jZzzn4jDe+/iPITjyGJKpnrL4SW5aBHeS5f5nv9o0QUGbm/lxvv+hFL3nojkqqR//Wv+Z+zyny7cj9z4nOIenHc/RGSlSaS1SbilShdmTHe9cFbKH7rWxRKEvuf2YqtxTgw/z2c/+b5JJvCRNMhWuYl6tO0j8Ro0eRffrsTxxW0JAyaEyFaEiE09zmKA39GR9MqJFnDsoapVgex7bH6sd1z/wBVS6KqcVQpTPKROyifdSNWqhFvYAdDGx7l+4s/xJLQBL2eRlZS+f3kLipumr5Ckt/siLJrVOHAhILpzHziW5jay4oWi2XNeZY1ZWlJpojHlhKNLkLTUmhaBl0/gjPiK8igaVNxPQTQrKvETjMxM8nWnh0s73qFnYQrE+A6U1aZI9bLgmtBrPkV6daLQQjB1i3DrDjj+JzWnUqR0uABIq3z0MJHtmi+WnCcEuPjj5NIrGK85DBWzJOMJpnTOEtk4aNwYKxESyJESDs9/yevJwJRMwuvGVFjFuDXf0x1yVsYkRtp6fstemYunP0+Ss8MMvHjXaxTdlKamIdZeoCG+NVMuGDVvmWr+Cu06BsZPstgjn6Qm992PermzdgDg0TOORtj0SKEcNm9+x8YLg3wzfJqfl/7KWZlD45b4W75Vt5yYCsdWoi2az9KrPHwaaS26fLdP3+ccnYXV7x3CSuvvgSA8kSJtT/eys513yDd9WGyQ+X6MUsvauPqDxz5CXhzX44P/cfTOJ6gKx1mKG8yUjSnwtADjTGd+U0x8hWb7YMFQpqMItnIoowkyQgBroArxQvkRZTHvKkM3dfJTyMB93pTeWAUycUV/gWtKTzG0obddMUn6EoVWdK+iLJyBb/aIrF2T55C1fet0RWZR//kSlqTrw7fi9ORUzLzaWxP/eHgpNY9BezYMcr8uUm0ExhWFEJQOLiTxNxX94wzxykzNv4ozU1vmGFdGS+M0Tc+jK5qLG5fcEzLi+169E1U6G48PZKovt4JfGpew3jrv8ndyf/FX/+kwnhpGFjFX6r/xW9+kkMCGlWJpGQTTuZYorXgVB/hkvQatin9hCayDGgWDt/DeEHiUbeVK294Aw1rLuKBsTyWUyL84NkkyAPwDOdznvIrZM2mpeUtRMJzuG58D/885wI+6X0Ba1hhReM/1vsmhOCp3+zmmQ3rKcoVRNqkr3cXK/FFjZEIk2qt0LLwCiaG/XxhyeYwbQtTrHnr7DcJIQR/ftdmfviUH8J/YczjPYuTnHfWKu58qodvrd1XrztatBgtjtdf+xmuFWCmD0RcqbBLzHSerWBwpbxxhqiRJJXfu3QebzqzjRXtCVRFZqxosn7fOL/dsZ9nDlrsGvYjJM9vjHLh/AYuX9xISyKIdP1SOO0fs9zjS0x6KhgaLJBOhk5I0AB4dhXpNeBXMz7+KE2N1x0mWjLxBjLxBqpWhc0HtwOwuH0+xhF8tw6MlYLZTq9SAkvNaYoQgu/2j7GrVAVgUTREuK9M6Rd/zN84HwAggcSvifO0uhvDjbFS+LN3vi33k5An2OXZVKujnFnewX6vhawbYjiygIreyScT3+GhxHu4LDrE2kvfyPXas3huge/1DXIFD7KA3exgCaM0czGPAaAoMXqMi9lclrmOe1ihfQvtYCvOaAUloWOrMndtfYTm8jxc16DsuYzFnybphWloXs7Qvn2YhQM0znsziy9oY9F5zaRbj/0k1P1nvzpmnYsXQLyvH1dTyCcjCGyUUpFM/zC7VoJJEcstUXHzZJxRPlA5yD8nu7lx0Q28ef51rHr+GzhrPklWaaR3osz924a5+4V+hgsmHakwnhAM5Kr195ub0bloYQur5zewen4DLYnAMnMyqNoOPSN7WdS++NiVTybFEVBUCB8+9X0GVgmqOUic2FDGK0GpaNE/UGDRoqMEkzsCuf3bSHaf/r5CRyOf34yuNxAKHTvRsed57B7ci+04NCYytKSmhhPLlsN4yaIz/eofinutEAw/zcKrTdR8/eAQqfJjLB26G7dvhGfVZXy9eh7X7ljPDq+LfZEz8Uo2dxPnCXUHFzkzzca/0J/hja0X8bG+rbxdepAvOu/mU/3r0CJXzahXLX6PMz70JComihLBdqvcwUf5MF+v11Eyb2ZF503szPbw/0ZSvLvy54Qwmbvu84QKU861I1KeCanEYm/qolLG5Gl1N+c7i/BCMonuZqJdMaKrmlEbZ59i6joePdvGGd6fZ/uTg4wMbKSqxIgrHUjAqCwoOTtJS00kpQwSRzcl72x4mgcXf29G2ZpKheuKZQqKTNz1+HUsyqoLbuV9y95HY9hPpel6gqf3j/PL5/v5/vqD9WPv//TltMdGiUS6j/q+ASfOroEDdDc2ommnwOw/sgOajjH8cjzOxKcA1/HYsnWElStfXPDHQ0WNYxapDPdjJJvQE8cQeqcJY2OP0dBw6QkfN5QdZjg3gqqogIQjMpzZ1XjM4wJeOYLhp1c5tpXn8d3f5oN8m1K1jUrbKPPEdhKs5LrEC/ytYaDENkGyk+rzzyB2zHwyEQjCQidsC37zN+8n//37WW4+woYBrR5wbRIrE6Ol4WLaWt9CJDKPbPYZtuztBndK1BSsAl+bWEqTfgb/dn4j6qaLyD/UQ+jMFF7FwS1auHkLN5tHOsQyLyHhSB4RdKiCt32cwvZx7L4SjR+Y6Y/j2C73/L9NHNwyPqNcdbMk1bl18dLsSTi2Bd5upPCF/jlTTFQ7x0AyT0UrYKkVVE1h1W6XyIU218Sv4anBp+hOdPPupe8mokXQZI2x4Rf4/Cb/sz696Vt8a9O32PTBTQAoslS3xPz1TSt4oTdHSJNZ2ByjXB4j4ORjO9VTI2gAYi1+WPxDA7FNkj142joIb902wooVLz7YXqx9Htndm4h3L6E83IMkZOJdi8nueeFVI2riiVVMTDxNOn3+sStPoyXVXLfUmOYY9mk8vBhwbAJRc5qRf+QRnnY/BHwYgDExQKRmS1NwGdvUw9mdQ/zsqn9jvhIj9O4baf35/ax94V6eS49zTeYKth/cwyK7i+qOnyEpq0m+9w4uffTLzJH76Bv6L865cD5rxfcY35Vgr30h+8eeZmzsQQCqUoxztU/Q1XZLLTbLGlQ1xo3TO3l2M5Gz/YuAsF2EK3j6+Q2E9RbGn3mYsLyRgb0KXusV7GWYi/RzUAuqn+AyayJHVeJXHB4Q7qlf7DtM0ADIWhe2u5X/Pu/nWGoVWzY5f1ua3FlJUpndZEIZMqEMS3aUOG/QIvm7H6QzMQfWPoXVfoCGmz50xPN9WedlfOycWxmrjPFgz4Msy8xugtcUmXPnTr+4vy4MnK8vwimQZN9io8emhpgKg76Dfqzp2MNTp4AdO0ZZuCD9klIkKHqIxPwVFA5sI9IyDy3iD70oRgTP844c4+U0QtcSFLzqsSseBcfJEouevk7gAccmEDWnCQ8dfIh//u1fcdPjFgdvUmhL9PHj4mpWDzzN/ZLC803nU5I3Ih5TkN8NlVgjNKwAYPWFZ/E3j/87fakGflt9hg1NG5hQh/jUcx5vqvwxDeEGuOovmAvou3bw5LpHkb3PcOaqbs5b1My/PnE1TcUxFFljONTI31x/LZ3hYzu7VjaPMva9bQAcULfw5vBDuMXLeECZjyqNURn9b5ZbbyYsbBxsYpd2kLx+HkggzRKS/4Kb5hHLGOhhlUhcJ5LUCcf9ZeNvfsHZo7cQbW5koqeX+Tefx8LzV89s4EIorX+Kwjd+TgkIn3kGmQ/97nGd/4ZwA+9c/M7jqhvw8nHKw4GEEv5iV/zszOBHl00c20/jVHDwQJbmxgjhyEsP7CjLMsl5K2aWaTrCsUB/dfiMybKO65ooioEQggHTxqzNkGwPaRhHEWeWNY56aDyrgFcdgU/NKabqVLn+J9czVh3jgh0eC9R3kRy+BA+PZxfIDCc1FA8yBYtVu/cgV/YgaQYyYCTOR1FTAHj7PsMPLi3ToK1CVRXOeeJ5Blct451n/xUtmSaiSZ3Grjiy7OeHKT7Rj7knx5byXqKJGJnO+TgNIWRyvDDYw7NzFiMBhizz8a7mWSPSWgMlhr/6LACfkx8G4EHvHHTgAlSu1n7JW9rOQj/3TajpEMb8JJL64p/4rEqZwtgYyZZWVO3URsEtl/cHPjUnmapjsa13J2d3n3Gqu/KqYHioiON4tHe8fNcz17YpHNxBpLULPXr63/Bdt0I+v5lSeBVVz6PD0AkrMkIIeqoWFU8wP2zMmuesWNpFLLroFPQ64FgEPjWvIjaPbmas6vtnmEYnyQF/+vO+hudx7F6W7RKELRhMWqiKzOp3fgpJVSlXy+x64r9pPfedVG1IxN7FF9btQPVk3HKF0c4/oHFgBc/uHEAIP2fSle9fyvKL2xn73jaqW/z3HFIHfSfjFw4w+aw3qm3i920Nwh6lt9n86eZ9/N0cj6bM6hl5k/S2KKm3LiT7s920SBM84/lOlhawFgfJ7SA2/BveeeFHTsq50sMRGjqDGQmvVYZLBxkz86e6G68KqqbDxESVJUtfXodWRdNILTiD8kgf5vgwk8Ou4aZO1NDp919UlDAHqg4L4gqd6pT1SpIk5oR9683WUpWl0RDKNLNgpdJLONR1KroccJIJRM0p5rzW87j7Lb9i5wNj7BqaIKrkOfNihzdf9WbErr3YP7sH43OfYsuv76X9imtwbY1q0eb7j/SSKUV46qGHaIlbFLwGBlrfQVkSFGTBR6O/ZOk7r8HaJ9j864M0dydYdL4/MyL91oWMWy56Vxxp0w6q5j5Ced850pM8ZGrWlIpMdss3aWlJ851sgQu4BVkOceklT6KqfuyX2Oo2Yqvb+JvhVnp/8Xf8NPw77MwKQobBGwt7iV/2f07JeX35ee0aOHc8+xhLzjnxWSQvlYo5jK6d+sjLrwZ27x5jxfJXzmk50tQx43Vp8ABls4qRasBInj4zhSYsm5AsiB8hWrYkSSyPhthVNmckcfU8C0V5dQyxBRydQNScQoQQPP2r/Tx9tx9ALpYxaJ2/kLHeQfL/uoEVZ0Vo/OI/Iuk626sxHv3hZmQliRFRWajpVITMUieBXuyiBZirgOoKJCQmSjcz8W8HANgQcsgnTN5RG/pR4jpNHz4TgIQY5unxB5knx2nYexN7bZ12K8nAGd8g3/YE/oSja3FrQsfzquRyGw+bOqk1L2LeJe/kMzt/Ax0dkO+Fy26GxWe9EqfyFHCqnT9eHqyqSTieYnRgP41t3a/4+2ciUUaKeZpip88Q8enGgQNZ5nYkTmk+omirH8oht3/LaSVqBktDdB0j1YUkSajTZ4Ba42j/P3v/GSNZnt7ngs8xccJ7m95Xlm/L7qlxHM4Mm3d4d0iNiEuJWlwOtLpLiBAJakaCyJZdagWOIN4PJCGCIiCA0mJFSGhejS64u+SQnOa47h7TtnxWep/hvTtxzH6IqqzKSheZGWmq6jyDQk9GHPOPjMg4v/Oa32uzPm9PC5ao6SKmrlP5zndora3heuEFHBe3jxB4FEEQNgUNQCXXZCaXAkQgwbnnX0RQ2iHUc69+htvf+fcIzh+nWXPg0HPYWhlE30sItNAFgYZs48OEwLqu8wu1P+PN1qdJiwrzsgFLhR3X8FM/9U+5ceOLLC0tkbpUxhYM8mZohN8c/yIyLXJqnTfmy/z2eBCHzYssuxGEXZxHz//PcO4L0CyCI3AGqj4tDkp6bZ6B8cusL96jparYlO5MFu8MgcuJAb43P2WJml2o1lT0loE3sLPH04muJbWMI3i2CqgbjRVc/pf33U4AVMPAJgioagaP54TNHi2ODUvUdAlDVdn4f/wm3s9/HuPlK6S++y0cb79F7H/7v++538//0x/DZpdweGzY7BKSLJJaLPF//PZ7fP1/fx9BFBBFAcMwkR3X0Bo/BHQE0Y3s+iyCDiY2RMCrmfxfFZEvvvQWRF4irL3IRysFvuhS+Jnn+xB3KI4DuHLlCleuXNn8ebBS598sZpEFEAWZfz05idfeYWGuKJ7JtleL/dE1DUFsi+3E4ARr83fpH9tbmB8HT3PrgmEY3L2bwSaLIAgEgw4iB5gvtDhf4OKls+GVo9druGMnU4dimiatahFdreEI9uwapTIxEMX9L2uCALIgUK8vWgX/TxmWqOkCV/7zFT73ocFiTKCYeYf0chps8L++beNXf/oLOHu3e7I8IDro3fZYbMjH//r//DjLd3LomoGhm4hSW9yI0quIkrBF7OiagSCAS10k4krB+P8G/j7+F+B/efngXzqXPE6+dm73NT/r6JpBIZ1Fddto1OqYpoE/FMPlDZz20o5EcnmWxFC7+0MURbyhEIV0kkD0cC61hyXm9bFWytP7hJi+dUqhUGd1pcTk+Sjy/VRwNlNjejqLaYIoCQwPB5B38ZuZX8gzOHA2Ilj17BqOcOLA+xmGgaE20NU6utrEUBuYhv5wA9PcNcIru71INjeF6Y/wj11B3GFWVad6WDdNMHXARBRPMhppcdxYoqZL9ORMvnVFQK+nNx+rmE1u/H/+X7zyS//0wMfzBO1c+PhBQ7tnKxT8NGGaJrn1KpIsYhom4fhFDE3HF0yAIJBcniGf3sAXiuENPHnFrrqu3RfKDy8U/mCC9cV72MoSbu/J1U1MRnv41g/epxbQ4ZHoot1lo7/Xe6q1JIdldiaLTZG5dHmrQAxHXIQj7S4iTdWZn8uj6wY9cQ/+4MMUU7nURDTBc0ZmjGn1Ks5w5/OvDMOgtHAbSXEg2h3Iih2b24vojyId0J5Bdl2mujaLd2B7yqhH1lmoNxnew2errhv3ozQLuFyW0d7ThiVqusCNL99gPfZ/0j//l7x1zmCtssZscZZA1eTb4yqvnPYCLY6MILQjY4HYzm2sPUPtL9hCdp3Vubt4AyF8oYdpglazjq7rOFxnc/JvemWOWP/2L/ieoXNk1pcp56dIDO4zF6mL9MdcjI9sFVL1SpOZmYeO07GgE3/k7LUVP0omVSGVrTM6HMDh3PviLSvS5jDK1dUS68kKoaCTcNjF4lKBy5dPNmK2F45QjOL8bZzxPhTX/v41leV7+AbPI8pHv+SI0s7HaLXyuGxuJFFkraHS69geganpBov1JuecJq2W64kUyBZ7Y5nvdQnTNMn8+98H08A2MEj9ow/x/PiP4/2Jn+j6uSxOh0KyRiDe2UW0lEtSLRVBAEM3kG0Ksk2mUavhD0fx+A8+Sfm4KOVS1MoFEkO7F0s263VSq7NEegZwHpMJ21TqHSZj1wBI51LIokgwsHuEaCNVpVxs7NiHptgl+vt8iEcYHXAUWk2N6dk84ZCDeGJ7irlT0ukq6+sVLl2MIh3BuPK4KC9Po/jD2H27RyfVch61nMPT252oiN5qUE+t4+nbOqMrk/lrwuHPIAgChZZGWtWQBAG7KNAyTXTTRBYEhpx2KpV7VnHwE4Q1pXsHTspRWMtmaW1sYB8bQ3ScjVCxRXdoVFuYponTc7Qc/PLMTQbGT981N706i6bpuH1+fMHOogDJ5XlESSTaO7T/xgfkUVEDMDN/l/GRw03ErtdbrK6W2iUae2znddmIJjxdFT9L83mamsH4eOiZiASUV2ZQfEHsvu1CvZpcwtQNPL3DXTuf1qxRXZnHO3J+M11arc5hGHW83kvbtm/oBoooIN5/L5rNNKIoY7M9XTVbTzOWo/ApIofDyOGzcxdu0T0cbhuFVO3IokbcrSX+hNC1BmvzM0R7R3G4D5a+iQ+MUCsXWJ6+Sc/wZJfHVXTv/srptDE+vvPfoWEYQLsYulRuMj+ff7gCE4wHs4LiHjyBzm9MCpkqa+kagwN+PEf8jDxJePvHqSaXUEs53L2jgEl1fQFT03GE4yieQFfPJ9tdeIfOU1meQbQ7sIdD1OtLRCKf2XF7xyOC1TRNNK2I2z3e1TVZnB0sUWNhccI4vV5WZm8T7x/BZj9Zv5FKMU0xk6V//NKhowgubwCH28fq7G2ifUM4XIdPr+xFOBghnU0SDXe3luTRidM+rx2fd+ei0pX1MuupCqYJgwN+HK6dBZyhG0xNZfAGHFy8sLfx29OKOz6IobWors6BIOBODHelfmY3RFnCHgihqyr5wveJRj7X0X7V2gxu1+ixrcvi9LFEjYXFAehGNiEU6ycUa7dQm4aJrmvYXW4iieP1/MiszwE2+sYOl9J5FFEUGZi43I7YjJxDlrsfmQgGIszM3+26qOmU/h4v9HgxTZPFpSJqQ0MQYGQkhGxrC6NiocHKapHz56NIp1S/c1YQZRvegZMZCKm3WjTzGQibeOULCMLev3vDaFGrzeFw9O5uHmrxVGCJGguLUyI+8LBwslJMszxzi77R81vaqruBaRqszt8iEB7A4w909dh9YxdZmb7J4OTVrh73AVKXfxeHQRAEhocCAOi6wcJ8HsMwaWkGDoeNS5fOTlfSs0Jl+R7e4Qvk82/h8+5tENlq5VHVHG73uWeixulZxxI1FhZnAI8/issTYnXuLv5wFF+wO66xjXqR9MoKPSMXkXcZ8ncURFEkPjDOxtI9EoNPfzeJJImM7VKrY3EyVNMrOGN97TTiPhGapprBNFTcbsuP5lnh2Y6XWlgckOPsFRQliYHxS+iaxurcnc2C1sOSzyxTSOcYmLh0LILmAXaX66kebWBxtnCGe6ltLKE3G2Du/jei6w10rYLD0blJoMWTjxWpsbDokJNyPwhGe/GFYqzN38UbCOM/QE1JuZCjWsxgmiZuX4jE4MkUru5X02Bh0S1EUSQwfpXy6jSaWoVdAme12jxe74WTXZzFqWOJGguLDqkVVdz+3e3Xu4kkyfSPXaSY3WBl9ja9w5NbZt0YhkF6dR7TMGg7sZiAicvn39NE77gw9NbxHFhov9ZHO5YsLAC8fRPYCn6KyzeRbC5cseHNz0m9voTbbXU5PYtYosbCokNaqo47cDKi5gH+cAJvMMb6wj3cPj8m0KiUQYBo7xCy7WTXsxO55BIu7/HMu/J6/JTKRQJ+yyjNYjuGquGOj9Iql0itfAObp20vYLMFcToHT3l1FqeBJWosLM44oijSN3qeUn4DSVIIDp+twaX1ao2+0eO5gAT9YZZW555pUdNqtahWq7hcLhTl2TH12wutUaW2toQj3kMzk0Zv1UkMfQGAWm0Bh6P/lFdocVpYosbC4gnBF0yc9hJ2RJKOrwhZkqQTq2U6axSLRVqtFjabDY/HQ61Wo1QqIcsygUDgtJd3ajRyaVrVPL7Rdr2M4g5sPmeaJqZpIIrWpe1ZxXrnLSwsjsizKTqOk2w2i9vtxu9/ODz0wcybRqNBJpMhEtl92OfTSKtSopZZRvGF8A7sXDdWry/hdB6viaXF2caqvrOwsDgSxx5Iecb80srlMk6nE8cuA3EdDgdut5tyuXzCKzs91HKeen4D//AlnKHd069O5wC1+sLJLczizGGJGguLDtBUfdMa32IrkqygqrXjO8EzFghqNpu4XHsPGnU6nTSbzRNa0elRz6xRWrxLq1bGt0t05lEEQcRhT1AovkejuXECK7Q4a1jf0hYWHVDJN0+88+lJIdo3RHZt5bSX8dRgWflDZW2W0sJdJKcb39B53PHOC9Fl2UvA/xKS6KBSuUe1OnuMK7U4a1g1NRYWHWCa5pm+2Bi6TjGdbP9gmtjdHlw+/947dYlj/72c3V/7qfK0FVAbukZlZQZBFLGHEihu35GOZ7MFsNkClErXUdUcinI8tgMWZwtL1FhY7EO12MTlO7uttIXkBqZpEIglEO6bjzUqFbIrS3jDERTn3qmMbiAIIrrWQpJtx36up51OxcpZFtmHobx0D+/Q+QMZLZqmSUHTUUQB9y5deD7fVZrNNOXyLdzuCUTx7P4tWxwdK/1kYbEPal3D7jqbF+vc2ipuf4BgondT0AA4PB7C/YNU8nlazcaxryPaP0J6bf5Ix3jKAg+HRlEU6vX6nts0Gg1strP5mTwMlY1FFF+wY0FT0nSmqw3m62p7f81gttZgutrA2OGDZLdHcTh6aTTWu7pui7OHJWosLPag1dSx2Y/Ph+UoNCoVFKcT2y5dMgCh3j5K6fSxr0WSpL1mC3bEroGHZ0zs+Hw+KpUKqqru+Hyr1aJcLm9p936SKS/PYHN4cIY7M5XMqhqFlsaE28Goy07QJhO32xhzORhz2bldqaPvIGxstiCKEqJYfJ9Wq9Ttl2FxRrBEjYXFHlQLTTzB3UXDaVIvF/EE968TECXxxOovjjpZfCdkm4L6DHT6PEo0GqVSqZDJZGg02pG2B/405XKZaPRkBpUeF1qjRnnpHqWFu9jDEeyBXaZSPoZpmmRaGoPOnYv2RUHgksfJbG3nz4sse/F6L9FqZQ+9douzjSVqLCyeVDqsqbC7PdTLx39nGukdJLO2cIQj7Px6wsEImfzxR5vOGqFQiEgkgqZpZLNZNE0jEokQCj3ZBa9qtUhp4Tbu/nF8w+dRXIGO912oq4y79u5CFAQBWRB2TEMBiKIdQZDQtDK12gK6vneqz+LJwhI1Fha7UC00cfmf/KJCvdXaM0XVLWyKA13Tun5ct9NDo3mMPjhnHI/HQzgcxuPxnPZSuoLi9uMI91JZnTlwBNEEpA7EfL/Dxmpz98nxTucgml7F6Ryi1SpQrc4caB0WZxdL1FhY7EKrqaM4znaDoGHo+27TajaxKSflsWMeIQX1jBXPPMO4or24Y0OUFu6g1god79dpv5eIgLrP59BhTyAIAg5HD6qaoVS+2fE6LM4ulqixsNgBQzcQzvhfRyDeQ251b9O7VqOBJJ9coXMoMUh2Y/lQ+wp7XLKetvZlC5DsdvwjF2kVi1Q3Fjvax8DsKLqz2lQZcnQm5DWtgss1is97uaPtLc42Z/xr28LidJhdLpGq7dx9clYQBAF3MERubXXH55u1GqVMGn/s5KZ72x1OtNazVdRrcTTcPUMkM1VqjeK+2w457MzV9/98NQwTWexMCKtqGrs91tG2Fmefsx1bt7A4JSS3jEcU+Wgqg0A7imBiIkkil8bPTqGm0+PFptjJri63PT7uRzRMw8RmtxPuf5ImFu9xEbIyU088mmawvlRE041t73QgPsRKPkNTXWUo0oPPHdzxGPJ9k71Us0XMvrNPz1S1wZDjya+FszgclqixsHiMSlPDbZeJ+RzEwlvdeKs1lR9cT/Lq1fgprW47sqIQ7js74iUY6yWzvkSkp/N5PRZPH4ZhsLZcQm1oiKKAKIr0DPiwKTunQ0O4AZhLrrCYWacvFCXk3d66nrDbSKstpqsNAjaJqGLDME2WGyoNw2TIoeCQOktCaFoZSXo6CrAt2hwo/fQHf/AHXL16FZ/Ph8/n49q1a/zZn/3Z5vOzs7N86UtfIhqN4vP5+Pmf/3mSyeSex/zOd77DF7/4RXp7exEEgf/xP/7Htm1M0+Rf/st/SU9PD06nk89//vNMT08fZOkWFh2TKjWI+3buFnK7FC6NBbk1nTvhVT05OJyeE3ExtjhbpJMV5qezzE9nWZzJsTibJxx1MzoZYXgizOBYcFdB8yij8X6uDF2k2mxxY/EWycL2adtRxcaE24EiCMzXmiw1VHrtCpNuR8eCBqDZTGG3P9mePxZbOZCo6e/v59/+23/Le++9x7vvvstnP/tZfvZnf5Zbt25RrVZ57bXXEASBN998k7feegtVVfniF7+4ZzdEtVrlueee4/d///d33ebf/bt/x+/93u/xH/7Df+AHP/gBbrebn/qpn9o0pbKwOEk87nZo+6OpDKWSVT9yEnjcXlbWF057GRa7sLKQRxQFRibCjEyEGRoPMTIRxnmE8SIDkV6uDF3CMARuLN5mPbd9xIHfJjPisjPstGPrsIbmAfX6KjZb4NDrszibCOYRrUZDoRC//du/zcDAAF/4whfI5/P4fO3pqsVikWAwyF/8xV/w+c9/fv/FCAJf//rX+Rt/429sPmaaJr29vfyjf/SP+Mf/+B9vHjcej/Of/tN/4m//7b/d0TpLpRJ+v59isbi5PguLx0mXmyiyiN+5/5exYZjMrZWoVh/6YSiyyPiAv6M70qeZerVIvVIhFO/reJ97qXc4F7u26/PL6wsE3EG8JzR93KJz5qYyjE5GjvUcG/kkqWKGq8OXjnysZjMNgoBdOd41W3SHg1y/D11To+s6b7zxBtVqlWvXrjE7O4sgCNjtD9voHA4Hoijyve99ryNRsxPz8/NsbGxs2d/v9/Pqq6/yzjvvdCxqLCw6odxoMRrtLMcuigLj/VsvsA1VY2qpgK6bm8WQPreNoT7fM9WW7HT7KaT3Tj0flIGeYWYW7pLKbSCJErpoMNQ7iixapYGnydJ8gUT/EW4UGyWo3neMVtzg3blbLxGM43N6ubF4G4fNzkTv2KFOp6pZTLOFw9572BVbnGEO/G1w48YNrl27RqPRwOPx8PWvf52LFy8SjUZxu938+q//Or/1W7+FaZr8xm/8Brqus75++MmoGxvtfGo8vrUwMx6Pbz63E81mk+Yj82JKJWuAmcXemKZ55CYbhyJzeXzrHJt8qcH1e+1ZMw9kTV/MTTjo3DzvD64n6Y976E88y0WL+4u+8eHz6PcNBwUNZhfuYXc4GOwdOe7FWexC34CPxdl2jVmsx4vH16HRY7MCpVVw+CF8X6A0y5C+Bw7fjuLG5XBxZegidbXOjcXbKLKNc73jHd8wNNUMht7A6ezvbI0WTxwHFjWTk5N8+OGHFItF/uRP/oQvf/nLfPvb3+bixYu88cYb/PIv/zK/93u/hyiK/MIv/AIvvvhix+Pku8nXvvY1fvM3f/PEz2vx5LJaqNN/X2h0k6DPQfCxwuPl9TKrUxkAKnWNyeEAhmHw0d3M5rU96LUz2Ovt+npOCn8kRj61RjDW3TtiSbyf2lNgYvQClWqFmYW7CIIIpomoSNgEmabaxO500BcdfKaiZCeNJIubqaeVhTzFQoO+wX1ShM0KlDcgOrn1cbsXol6oZqC4Cv6d05dOxcmVoYs01Dq3lu4gSzLnesd3vdaYpkG1OoOihCxB85RzYFGjKArj4+MAvPTSS/zoRz/id3/3d/nDP/xDXnvtNWZnZ8lkMsiyTCAQIJFIMDo6eugFJhJttZ5MJunpeTiaPplM8vzzz++63+uvv85Xv/rVzZ9LpRIDA2en7dXi7NHUDOwn5L470ONloGe7YImGHraQ5wqNtsgBEMDvURjue3LqwVyeAMVs6tjP43F7GHef3/xZb2q0aOGwO6mVy9yduUFfYhCfN3Dsa3nW6R8OMnM7TUvV964rK65A7Pzuz7sjkJ0FvQXS7vVtDsXJ5aGLNNQGt5bvIksSk70TW8RNs5lG04q43ROWuH0GOHIy2jCMLWkegEikrdrffPNNUqkUP/MzP3Po44+MjJBIJPjmN7+5KWJKpRI/+MEP+OVf/uVd97Pb7Vvqeyws9kLVDGynEFHci1DAQSjwMMKTKz4icgCvx8bIWa/VOVA+rzsOe5JdRrr/1ebyerngvcrU7E1L1JwAWqvd6bqnoNGaoLh2f/4BodG2sImM77upQ3FwZegizVaTW8tTSKLARM8IzcYiihLB7d7/GBZPBwcSNa+//jpf+MIXGBwcpFwu88d//Md861vf4hvf+AYAf/RHf8SFCxeIRqO88847/Nqv/Rpf+cpXmJx8GGL83Oc+x5e+9CV+5Vd+BYBKpcLMzMMJqfPz83z44YeEQiEGB9th43/4D/8h/+bf/BsmJiYYGRnhX/yLf0Fvb++WLikLi6OwlKsxFnWf9jL2JOR3EPI/FDmFR2p1MMHvVhjq954pkeMNhilkNghEOhnVcHzr7okPcG/+NudGLh7bOSxgaS7H6Pnw3huVViEwvP/BBAHM/Qe2PordZufK0AWSxTq3Vxa4OnTuTP09WBw/BxI1qVSKX/zFX2R9fR2/38/Vq1f5xje+wU/+5E8CMDU1xeuvv04ul2N4eJh/9s/+GV/5yle2HONBeuoB7777Lj/xEz+x+fODlNGXv/xl/tN/+k8A/JN/8k+oVqv80i/9EoVCgU9+8pP8+Z//OQ7HzgZpFhYHwTBMROHJG5oY8DkIPFKrkys1uD6V3fw5HnSSiJ+uUPP4w6wv3utQ1BwfPo8fTJP3bnyfFy+9inBATxOL/UmulRDuOwfviSiDoYHYwSiDQ3S2LWSqeBwyzw1P7r+xxVPHkX1qnhQsnxqL3ZhJVRiJuJGesgvdWrpKMl3DpkhcGguemmhbX7hHz/C5fbe7l/o+52IfO9a1NFtNZubvcuncc8d6nqcNo6FRn8oh3TfTMwEME8ltQ+n3kk1XSa9VCMZcxHeoFdt6MAPy8w87nnZDU6G8BsHhjtbY1HTmM1WGQm6cz7hP1NPGifjUWFg8DZQbLVyKdLqCprQGam1zGCWmCbIdAkcrbO+NuumNuqnXW3xwJ40kiVweDyEdwEa+G3gCQcr5NN7gfnb0x39/ZbfZGewdZnZx6v4jApFQDP8ZqLcxDINqrUy+mEPXtc73Mx84tgsM9A6h2LpfS6gul3FeiWyLwmiFBvWpHHPpCi+82ods60BMiGK7ANgw2v9/N3KzEN2jmPgRyo0WyVKT8wnrhvVZxxI1Fs80G8UGE/FTaps2TUjdAX8/+B5re1arsHET4pceip1D4nTaePFiDFXVuT6VxcTk6rkIsnwy4sYbiLK+eK8DUXMyeD1+vJ6HLcfp9AYzmbsYGIR8YSLhow0r1TSNcqVAsVTAMI1dI2Q7Bck9Li+JSC/KIZocDMNgZW2Blt52uHbaXfQmBjB0A3WhBKaJaYKtx43sOeAUa1kEzQBl62dGDjiQAw5emghw+06akYEA7k58aiLnIHkTYhdB2uEylJ0Fb09Hn/26qpMsNRmPPcseTxYPsNJPFs8sq4U6fqcNj/2UtH36XrvDY6cvdWjfyWamIHahq6fVNIOb01kM0+TieAiHcvyvf33xHj1De6eg9huTcBIUClmyxQymaSIIArIko+v3zf4EYUch8jiiIOL3BfB6Asjy6d03VmoVphduMWj2EjzXi2iTUNfK6CUVJBEBMHUTpd+D5FFQk1X0fBNBkXCMbvWZMQyD5mwR50Rwz3POzedRmxqjo0GU/T5Xpgm5ufZ/BQFECQy9/c/f31GHVEs3mE1XrAjNU46VfrKw2AdVM1A14/QEjaaCrOwuaKAdmrf72kZl9u7dhcqyyPMXohiGwe3ZPK2WwUi/d0vRcbdxeXxUijk8/tCxnaMbBAJhAoGH3Ttqq4ks2RBFkVYyiXl/iK4gy8i9vWe6uNzj8nDl3EvMLt6llRdJxPowahqiy4Zgk1B63JimSXOhhLpaQS818fxYD1q+QWOuuEXYdGqgOjoSxDAM5ubyaJrByHAQu2OXz7ggPKyrMQwwjb3/Hh7DMEymkxUu7FfDY/FMYYkai2eS5XyN0cgpdgYVl9tRmv3w97VD8V0UNQ8QRZHLE+0L+MxSkcW1Cn6PjeH+7g+M9IcTrC/eO/Oi5nEUmx0tl6OVz2Pr6UG8P67FUFXUuTlErxdbLHbKq9wdWZaZHLtMOptkbWOZ3vEBmktlRG+74FcQBBwjW99vOegAw6R+J4vzQridvlosI3SYrhRFkfHxMIZhMD+XR20ZjI7sIW7aOwGdp0MbLZ25dJULPWfLwsDi9LFEjcUzyXR2mdFIZ0WIx0anX8ZG50Wjh2X8vq19ttDgwzvt4YIXx0MonRR+PsVouRxmq4V9bGunjqgo2MfG0LJZWskktvjR6nCOm2g4zkZqlen5O+0hoPa9a2rksBNsIvU7WQRZRBnwIu4lSnZAFEXG7oubhfkCaktneDiAw7G7Q3AnLOdq7dRpr5VystiOJWosnjnWKms819vDd+an8NoVXugdOfm7PVF+mILaC8PY0ya+24QDDsIBB7reTk0Zhkk87CTRBWNCh8tDtZzH7d27LuMsoefz2wTNo8jhMM25uc0anLNMItaHvx5gcW2OiZH967Rknx250+GUeyCKIqNj7Qjd3GyOpqozMhTA4Tr453o+UyXsUfAdURhZPL1YosbimcI0TepanbFALz2+ALlqnW/P38WrKLzYN3pyF6bAIGRnIDKx93a5OQid/ARqSRK5cq6dmlpNVvjwThqbLHJhLHjoAbXBaC/ri/d2FTVHn5HeXbR0GrmDCIwyOEhrZQXlCZgtp+kaTbWB2mweqsPqqDwQN/NzeZqqxtCgH6dL4c796KAsi4zt8hlbytaIeBS8lqCx2ANL1Fg8UyyUFhjyDW3+HHI7+czoBfK1trjxKAovnYS4EQSwuaCWA9cudSb1QjtKI55uCqgv7qEv7qHebHF9Kodpmoz2+/B34S7+UR40Fmm6wUfrCzT1Ju3RCSZNTWM83MNAINLVc+6FUauhRPdvQxdkGVNVT2BFR8fr8aPY7Mi20xUGI6NtYbswn6dSzTPQ78cfcNBSda5fTxKPeeh5ZEL9cq6G32mzBI3FvliixuKZoayWccpO5B2s14OutrgpPBA3NoWX+o9Z3Pj7oLAM9Xy7aPhR8738QvvnDt1UTwKn3cbzF9qiYnqxyPxqCY/LxvhQoONj2J0u6tUSTvfWegjd0JkvZEjVbqNIEpfig3jtzi3bvLN0l7Ja52LshCIiptlxWkk4xdbtg5DOJvG4PIeOtnWb4ZGtUTubIvH88z2USg2mp9sjP1qmSV+/H/8h0lUWzx6WT43FM8N0fpqJ4D7pnvsU63U+WF/AbVN4+bjFjd6CwtLWx/z9bVfhM06h1GBhtYxpwuRoAFcHd9I7eda8u/IdVD3Ix4eu7LnvciHDdHaN53qGCbuO9+/YaDTQs1lsfX17bqfl8wDIwbNfK3Rv7jbnRp+coZ5ato7olBEtQfNMY/nUWFg8xnxxfkvaaT/8znbkplRv8O35u7hkhR8bOCZxI9l2nINjGAZvf7CByynTH/cQC+9vRnbSBHwOnvc5ME2Tqbk8DVUn4LMz3Lf7F48giKwv3gMT3H4f3kCc6xvz/N9e/vS+5xsIRBgIRHh3ZY6bySU+OXQB6ZjSc6LDQate3zdao2cy2Cc6E8sWnaNl6ohuG6LTukxZdI4VqbF46ik2izS0BnH34dtuy40G763NH6+4eYx3b6S4OhlCUWRWNipkC23jt1jQSc8pT9/ei2yhwfJ6GYDzY8E9HYvLhTwf3ZzDO+Lgub5LBzpPU9N4e/EOYbeXq4nhoyx5V0xdp3nvHvbxcYTH6lBMw6B57x7KyAjiKRTdPkqpXCCXzzDYP7pnamlq9iaTY5cPfHzDaI97OKlCekvQWDyKFamxsLiPaZqkaqmO00674XU4+MzoBcqNds2NU1Z45b64KTcavLM0jSRK9PkCnI/17n/AfUjn61QaLRpNHUWR6U946E+0DfjW01U+upsBIOyz0997thxVH7SFG4bB3bkCLc0g5LczsIPzqy66iCRGON93cFM+uyzzE2NXWC8WeHP2OpPRPvp84f13PACCJGE/f57W4mI7YnNfMJiGASbYz53bfOw0Wd1YYmz4PPPLMzTVOh6nl9b9oZhup5tErJ1CUzUVwzA6qqlpNBpUKpVNMWPerzGSZZlAIHBsr0XL1BE9tgP74lhYgBWpsXjKmSvMMegb3LE4+ChUmg3eXZ1HN0xkUeDHR9u+H7OZJJlamVcHx7tynunFIrV6i4BPYWgHs7Fkvs5GsgqATRYZ7vdu1rWYpklLN2npBi29PRaiqeo0VR1dN9E1A9No//dxBKFdrxwLOYmFnUcuLF3aKPPBrQwvJHz0nAtgu2/qd+vWD5D8brxOP33hoxUA31hfIlMr8ImhCyjys1WD8WitjGEYaFoLRWlHj8qVIktrCyiygl2xM9i/v5N1uVxG1/UdxUuz2aRYLBI7BiflVqqG5FMsQWOxhYNcvy1RY/HUkmvkMEyDiPPk2oABlgs5lgsZPj689wDHTjBNkzszeQQRLoztHc1oqhqLq2Xqqo54P0sgiyI2Sdj8r0ORURQRm01ClAQkWUSUdk4rmKZJMlsjla0jIGz6yLidNkb6vduEjmGYpPJ10tn6lsGPJiBLAhfHQpiGydp0AUM30cxVesdGcTg9FCp5NgqrCEBPaBDfIYuADcPge4t3cdps/Fj/s1Hn0mw2WFiZOVRaaSc0TaNYLBIO7x71UlWVarVKsEvF0aZp0tqoYYs4EWynH/myOFtYomYHLFHzbGGYBvPFecYCu7vBHidrxSKzuXU+NXK0UQzfe2+dly5HcR7D4E3TMChlUhi6jiTb8EaiHdVMlMoqSxtlDMPcHLAMIAoC0YCDaNiJKO19YapVClTLWaI929+f5fQCtWYFUZAZ6zl3qChRtlrho405RoJxRkJne4TBUZmeu8PEaPcmuWcyGSKR/W8EOt1uP0zNoJWqYUu4EcSz7cpscTpYNTUWzzzzxXlG/CfvxPuAXr8fWRL5q+mbjATjjEX2N3HbCadTwt7lO1fTNMmvryEI4IvGkWQZXWttPhbs2buF2edVuOw9Wu1KLjVP/+gLOz43EB0GoKW1mFm/i2kaeF1BekN7r+tRwm4Pnx27ylR6jTdnr/Ny/zg++9nrHjsqqxtLBLo8JLTTYmBRFDuuz9kNo6GhF5sovd0f2GrxbGJFaiyeOjL1DKIgEnKcjYnQS4UUy4XC5s8um53LiX5s0u6tyE1N492VeRqqRq/s5MLocNfWk15aINTbj7SDYZzWalHYWCMy0Hn7+0HZWLpFODGGTXF0vE+ukmNu/Q4vT3ziUOf8/tIUhmlwbfD8mZ/RdBBmF+8xNnT0NOejZLPZPVNPj24XCASQ9vgc74VebWE2tPbwTAuLPbAiNRbPLJqhUVJLjPr3L4Y8KQYDMQYDD4sqS40a76/Mo+9wP2Fyv8NEEnl1YARZkrkzO9u1tRRTSQLxxI6CBkC22fBFopQyaXyHjC7tRTmfwu7yI9nsZFQNlyTi2idVBVBrVBiMHr74+mODk1TVJt+au0HCG+JCrP/QxzpTmNuLvE+SQwuaYrNda2UJGosuY4kai6eK+eI844HudB4dFz6Hi1eHOlvjysYGkUj3nGp1TcNm3ztCojhdVAv5rp3zAYahs5RdQ+k5T6GuErJJFDWN9aaBgMCIU9kxilKsFlBbDfojg0c6v1ux8xNjV1nMp/nr2etcjg8T9TzZUdvjCLM7nU7K5TJe7+5WAaZpYhiHE1Rato5gl5A9+0yot7A4BFaZucVTQ7KaJOaKPVXphXylSLSLNROdFmIaevcjANfnbuLvPc+E28GIy47fJtNjVxhzORhwKNyuNng8G24YBkvpGUZ7updiGQpG+YmxqywV0/z13A00Xe/asU+SfC6Ly9F9E0aXy4WqqjSbzV23SSaThEIH/1y2UjVEtw3JEjQWx4QVqbF4KlB1lbpWP5Jr8FkjXyzh85xOAaUod3f0QCq9iuwO0+/aOUpkEwXOuRzM1ZuMPbLN7eWPuDDwfFfX8oCX+sbQdJ3vLt4h6PTwfM/wsZznuKi3asd27HA4TD6fp1wuEwgEkGUZ0zQpFouoqkokEjlQ6slq2bY4KaxPl8VTwVJpiWH/8Gkvo6usZZIMJTrv+OkE0+gsYdHpdp2gaS3mCjku9+xdx2J7LIo0n5ylNzyILB3fvZcsSfzE6GV6vAH+evY6K4XcsZ2r2/TGB6jVq2iadizHDwaDhMNhKpUK2WyWXC6H2+0mFoshH2AquWmYtNaq2OIuS9BYHDtWpMbiiWe9sk7CnTjtZXQdl9NBsVzGv0dtw0Gxu1zUSkVcPv+u29SKBRxdjBAll28R6ZnsaFuHKNLQDarVHKIgEPJ0d+zBbsQ9AeKeALeSS9ybXeHa4HmctrOfIhkZnGB6/jbFVpPB0AQ98d3f18MgCMKRRiKYhklrvYqt1/1UpYUtzi6WbLZ4oqlrdTRDw6M8fT4XI70DzK+udPWY7kCQZq1Ko1LZ8fl6uYTaaOwpeg5CLrWAPzSAdAAvk3qrSTK/wlDs5DvYLsUH+czIZd5dneFHyzMnfv6DIkkSjlAczeUmk2owv5jH6GKU7SiYukFrwxI0FieLFamxeKJZLa8yHjzb3U5HYbC3h7mVZUb7jzYX6VGCiV7KuQy1tSKCKKA4nKiNOosrq4SiYQaHuiMm1GYVtdEgFBsmWWt0tE/TMMml7nBp8PmurOEwiKLIp4YvUqhX+OvZ6wwG4oyFz2at1g+WpvHYHXxiqO0orNZUpqezAAwPBbCf0gwlUzNopevYeixBY3GyWOZ7Fk8sK+UVQo4QLtvT5xT7KHfmZhnoTeA5hk4XXdOYmp2mhcnowCClSoVCuYxpmoz1D+J0dG6Q9zgr8x/QP9J2Da5qOgVNp8+xe0rHNE3+av4OH+vpx+s8O3+jM9l1lgtpXuydwO88G74qjZbKtxdu8WLP2I5t6YZhsLhYpKW2O7sCPjuRmHvf8RXdwNQMtEwdW6L7n1eLZxNr9tMOWKLm6aKiViipJXo9vae9lBPho6m79ESjxEL715jUm01Wkxu4XU56Ig9N/97+4H0CPh8I8ODe2TBNRvsHcD7mXWMYBjMrS6iqiizJnBsaPpAdfjY5h8Mdwu0JbD623FBxSyIh2/bogWma/PXqApMuG32hs2mM94PlKVq6wSeGDudKXGzU+Gh9Hllsdw1NRvsIuw5WL6VqGrdSyxQbVT49fLHj96RQapBOVlFbOhcvdDbj6zCYLQMtV8cWtwSNRfewRM0OWKLm6cE0TaYL05wLdtcevptomQxGtYogy8i9vV25iKxlUuSLRYT7/zMxNwXKo3/ENkVmIJZgemmRK+MPC3Rvz81wcfTgqbpmS2VmaRHTNPF5PAwm9haSzUaVYnaFWN/24uD1pkpFM4goMkGbjGaYLDdUNkoZotQZT5ztVGKjpfLO8hRxd5CL8YOJr7+c/pCfnHgeaIvGO+lVio3qgY5hk2TGQwmCrsPVkDUbGjOzWXoTXoLh7kY4Td1ES9esCI1F17FEzQ5YoubpYSY/w4h/BEnsrpdKN2itrmI0VeRYFMnjwVRVWmtrmIaBMjJyovUF5WqV2ZVF7DYF04Sg30/PEUcf5EtF1tIpAOLhMJHAdgO2lfkP6R95fs/j5FoaxZaOKIC9WaJazzLWc7SJ5seKaUJ+vv1fYLWcY7aYZXL0GnHv/kXV19cX6POFCbu718l2FNbXytRqKmPj3ekuM837XU5WDY3FMWCJmh2wRM3TQbqWRhZlgo7ujQ7oFurCAlIkgrRDO7Sp6zSnp3GcP8MX7gOymtqgUC6DZjI5NIrskEmvz+L2hXG5Ax0dI1vKUagmGeu5cLyLPQqNIpTWIDwBj3rm6C1u3v0WWdnLJ8ZfQd6jXuU787f49MilE1hs5xTydUollcGho3e6tTaqyDFXx47VFhYH4SDXb6ul2+KJQTM0ymr5TAoaLZdD9Hp3FDQAgiRhHx1FXVg42YUdI32xBON9A9gFncpqheydLI3sHI4Oi3xz5Ty5ysbZFjSaCuUkxC5sFTQAko3Ll36STwS8vLVwnQ9W53c8hKppm3U0Z4lA0Em93jrycVqZOlLIYQkaizOB1dJt8cSwUFxgLDB22svYEb1YxD4ysuc2gnL2zdwOgtZqsbg4y7nJhxGIQOvHqazfA0C2e3BFdq47KVTzZEprnOs7W9GLbeQXIDKx5yZy7CI/Lk6Tdgb51twNwi4fVxJDm88nK0XijxRMnyXiCTcbayUSvYeLXmuFJqJTRlTOnmizeDaxRI3FE8FaZY2Y++wOqxQ67EIxDznZ+Kxh6AZzM1OMT17c8rhkU/D1tVNsarVAceU2AE5/D4q3HWEr1ops5Fc533/5ZBd9GEQJ9vvMCQKIElFPgM94AqQrJb47fxtBEPDaHVxNDPPdhTuMhU/f9XohNcdg5GEnWyDg5F6yymFWpldbIIDktnV3kRYWR8ASNRZnnmw9i0204VOe/Foo4QBDAM8qhmEwc+82Y5MX9mwpVtwBlPu1NfXcGsXVDWpNlQwGV0ZfOKHVnhD6wzRO1OMj6mmLvXy9yluLdwk5z4bjdb1RZmr1FqIoMtGz9/u3F0ZTx6xryJGz4dtjYfEAS9RYnGmaepNKq8KQb2j/jU+RTiMwT0OkZm76LsMT5w7UfeYM9eKkF69hoC0WmbuXQZYk+kf8h76wnimknaMVQaebTw6fnZohSVI413cBTde4t3YbQzUwW7H9d3wE0zDR8w2rddviTGKJGoszzXJp+YkYgyCHw7SSSWzx3e30jVoN4QkYkrgXczNT9A0Po8iHex2iKDIw0k5DqarGwkx7KrbboxA/ZF3HsWJ2KEIN/XjX0TXaza6yJHO+/zKGoVFem6K4nMXbex6xg0hia6Pdum1hcRaxRI3FmWWtskaPp+e0l9ERks+HUS6j5XLIoe3eLUa9Tmt1FfvE3kWnZ5mV1UWisQROe3dM2xRFZvRcBIBSoc7cvQwCAqGYC3/gjKQ1/AOQmYHIHsI6Mw3Bsx1JfID5mEgTRRl//yUMQ6e8NgWmuae4aaVr2KLOM1vbZmFhiRqLM0mtVeNm5iYBe4CX4y8/ESkKW18fWiZDc24eQbEh+f0YlQpGvYGg2J5oQaO2VPRWC2+Xpnc/ji/gxHdfyCTXy2STGQD6TnEoIwA2B7hCkLoDkUl49HNoGJCZAm8CZPvprbFDVnMrRHw7lwSLooS//2Jb3KzfA8PYJm70korolBFsT35dmMXTiyVqLM4kq5VVXht+jZpa4621twB4NfHqodMeJ4UciSBHIpi6jl4oIIVC2Oxn/4K3H6srCwwNnUwaMN7jhR4vhmGwulik1dJPt/7GFQJHAHJzWzuhTHO70DnDFMsZpMQlZmsNxPvTvwxMPJJE3N6uCRJFCX/fhUfEjY639zzoAmZLRw6fkQiahcUuWKLG4syxUl6hz9MHgEtx8an+T6EbOj9Y/wG6qXM1ehW//XgiBt1CkCTkcHcs6M8EJicuKB6vv1mazWMY7ZqQWI8Xj+8ExaIo7p2COuPcWvwIzTeMSxJJ2LcWNRdbGnerdc67HwqWh+LGoLx2FxEH3v7Rk162hcWBsUSNxZmi1qohCAIu29a6DUmU+HjfxwF4P/k+1VaVscDYUz+le2N9hVq1wvDouVNLwa0sL9DTN3Aq536AosgMTzwUiesrJVLrZURRYGAkiCQ/GdGS02B69S5VZ5wX/X7kHVx//TYZlyQxXW0w4d46rV0UReSggsv1ZNQMWVhYosbiTLFWWdu32+nF+IsA3M3dZXZlloQ7wUTwya1X2Y25uSlCwQiRaIK5mbtEYnECgZOP/rRaKg772Uo79PS3O6U0zWB5vh3BcXvbHVS1ikpyvbxlenkk7sF7kpGdM8Kd5ZsE/HEcys6C5gE2UUARBZqGgf0R8dxq5ZFlH4Jg1dFYPBlYAy0tzgzL5WWizigO2bH/xo+wVFpisbSIX/FzNXb1mFZ3cjQadZYW5hgeGUd5pB5nfX0ZTW0xMHRyaYDUxhoOtwufN3Bi5zws5VKTTLKC02Uj1uPZEtlKrpepVdTNnwdGgshPcXSn2VK5t3qd0cQFUobMiGt/QWeaJgt1dcu21eoMbveTm3azeDo4yPXbitRYnAkqagVZkA8saAAGfYMM+gbJ1rN8d+W72EQbryReeSI6ph4nl01TLOY5d377TKSengFqtQoz927TNzCM09md1uq9qNTKxBJPRorP67PvGo2J93g3/79hGCzO5jF0k8HRILanbG5RupgmXVzj8tBL7dbrWrOj/QRBoPXIPW6ttoDD0Xdcy7SwOBYsUWNxJlivrh85hRR2hvlU/6dotBqbHVOvJF7B/gS020I7EiMgMDJ6btdtXC4P4+cusrQwi2K3k+jZeWBkN8hkkgRPId113IiiyMhEGMMwuP6DVcK9XvoGfE+kCH6c2bV7KDaFi4PPbT4mCGCYJuI+3jK6aWK/n6Kq11eRZR+SdLbSjhYW+2GlnyxOnaXSEnF3HLvUXfGhGzo/3Pghqq7yqb5PncmLVqNRx+Fwsr6+jCzbiEY7Hy1YKGTJplIMjU4gy92/P5mbmWJ0fLLrxz1rNGstlhcKSDYRxS7T0+89k5+Vvag26sxv3GUoPorXubUzUDdNFupNxlx7R0Fnag1GnXZUNYko2FCUp0/QWjyZWOkniyeGaquKLMpdFzTQ7pi61nsNVVN5a+0tPtX/qa6f4ygsL86h6zpqs0kwEjmQoAEIBML4fEEW5u4RCIYJhaNdW9vK4jzR2OlPlT4J7C4b4xfbv7t6TWVxNr/l+USfF6fr7PojzSwUKBXf5dzw83ic260OJEHAJgiUNB2fvHOqrdjSsIsiulYE00CxW4LG4snEitRYnCoz+ZkTme30XvI9hn3DhJ2n/2XdarWYn71H38Agbrd3/x06IJVcv9/6fbQUnmmaLMxOE4iEn8rU00ExDIOFezlCMTeB0NlKxVRrKlOzBQb7vUSCTgrZVeqVPE5PiEB4ex3UYr2JAAw67dseB+hXTBqNNdxuy4/G4mxxkOu3JWosTo2V8gohR2ibJ81x8a2lb/GZwc+cyLl2o1DIkstkGB6d6HqKo9lssLw4R6K3H4/n4J/xZr3O0vIcQyMTKE/44M1uc+9miuGJENlsnVqpicNlw+1V0DWDcPTkhzvOLhSoN3UuT24XnpVihnJhA4crQDC6teaqphusN9VNR2ET6LHbcEoi5cpdvJ7zJ7F8C4sDYYmaHbBEzdmioTVI19MMeE/O1G2huICqq5wL7V6Ie5ysriwiiiI9vcf7mleWFxAEgb7+zg3Tcpk0xXKBkZGnz++nGxiGydxUhnDMTTDsolZRyaaqePx2Crk6AKZh4vE5iPV4jm0dtXqLuzN5Bvq9RIN7R45q5TzF3Cp2p59QbO/PXLU6i9M5gChaYtbi7GGJmh2wRM3Z4qTSTo/zfvJ9GloDn93HhdAFJPH423l1Q2duZopEou/YBkI+TqlUIL2xzsj45L4RoZWlBWwOhXjsyWjdPssUC3Vy6drmz8GQi0CX5iWtJ6uksjWeu3iw2qlauUAuvYDbFyEY2d4tV68vIcsBbDbre9HibHKQ6/eB4t9/8Ad/wNWrV/H5fPh8Pq5du8af/dmfbT4/OzvLl770JaLRKD6fj5//+Z8nmUzue9zf//3fZ3h4GIfDwauvvsoPf/jDLc9/5jOfQRCELf/+/t//+wdZusUZYqO6QdwdP5Vzvxh/kY/3fZwedw/vbrzL99e+zztr7/D9te/z9urb/GDtB7y9+jZvrb7F3ezdI5+vVC4wPzPF6NjkiQkaAJ8vwODIODNTt9F1fcdtDN1geuoW/mDQEjRdwh9wMjIR3vynaToL01kWprPMT2e3GAAehOmFAk1VP7CgAXB5A/SPPo8kyqwv3qSYffid/KB12xI0Fk8LB4rU/Omf/imSJDExMYFpmvzn//yf+e3f/m0++OADhoeHuXr1Ks899xy/+Zu/CcC/+Bf/grW1Nb7//e/verf43/7bf+MXf/EX+Q//4T/w6quv8ju/8zu88cYbTE1NEYvFgLaoOXfuHP/6X//rzf1cLteBIi5WpOZs0DJarJRXGPGPnPZS9mW+OE+xWeT52POH2n99fQVD0+kbOL25ObquM3vvDuOTF7f8DVYrZdbWlhkdnzyRaJVFm/WVEo16CwAB6B3yoyh7N6Hencnh99npiXWndqdcSFIpppHtJv5QD4oS6cpxLSyOixNNP4VCIX77t3+bgYEBvvCFL5DP5zdPWiwWCQaD/MVf/AWf//znd9z/1Vdf5cd+7Mf49//+3wPtboOBgQF+9Vd/ld/4jd8A2qLm+eef53d+53cOvU5L1JwNZguzjPpH206nJ4ReKqHncm0XMtNEdLuRo53d8d7J3iFZTfLx3o+jyJ3VG5imydzMXULhGMHQ6XcQaZrG3MwUE5MXEQSBVHKdplpnYMDqcjlNdM1gbbmIrhkASJJI76B/y3DOe/N5fG6FRJcEzQMalRYtVcN7xjq6LCx24tjST4+i6zr/9b/+V6rVKteuXaPZbCIIAvZHZtU4HA5EUeR73/vejsdQVZX33ntvi+ARRZHPf/7zvPPOO1u2/S//5b8QiUS4fPkyr7/+OrVa7fHDbaHZbFIqlbb8szhdCoUyydUCLU07kfOZhkFzehqz2UQZHkYZGkIZHkZwOmnOzGDs8xkCuBC+wKf7P83317/P91a+R0nd+3NUrVWYnrrN0ND4mRA0ALIsMzw2zsz0HRYXZpBkyRI0ZwBJFhkYCTI8EWZ4Iky838vNH61RLLQLj1eTFew2qeuCxtANamXVEjQWTyUHNt+7ceMG165do9Fo4PF4+PrXv87FixeJRqO43W5+/dd/nd/6rd/CNE1+4zd+A13XWV9f3/FYmUwGXdeJx7fWV8Tjce7efVjP8Hf+zt9haGiI3t5erl+/zq//+q8zNTXFf//v/33XdX7ta1/bTINZnD6mYWLURT524QXuLs6h6TrjfYO4nMf3xdqcnsE+MY7wWOpT8niQxsdpzsygDA4iKHtHYERR5NMDn8Y0TT5IfUBJLfHp/k8jCluPm0yvoVYbO85tOm0Um52BvmGa0wX8w7HTXk7XKBaLtFqtLZE/0zQJh8MnGg3sBooi89y1ftZXSmTWK5Q1g+evdLf2zDRMsmtVIv3H16FlYXGaHFjUTE5O8uGHH1IsFvmTP/kTvvzlL/Ptb3+bixcv8sYbb/DLv/zL/N7v/R6iKPILv/ALvPjii0f24/ilX/qlzf9/5coVenp6+NznPsfs7CxjY2M77vP666/z1a9+dfPnUqnEwMDJtQ9bbCWfrBFMuBAEgYsj7a6ne0vzNFWVgVgPgS6nBFvr6ygD/dsEzaMoY2Oo8/PYRzuLWgiCwIvxF2loDd5efRtZbP/5mKaJq2hjIDZEfPjsFtw63C7kUYnGdB7HRPC0l3NkUqkUPp8Pv39rAbZhGCSTScLhMDab7ZRWd3h6+n2kb2cZmgx19bimaZJZrRDp9zxxgs/ColMOLGoURWF8vH1Reumll/jRj37E7/7u7/KHf/iHvPbaa8zOzpLJZJBlmUAgQCKRYHSXi0YkEkGSpG0dUslkkkRid4v2V199FYCZmZldRY3dbt+SCrM4PeplFYfbtu2L9Nxgu1h4fn2Z5dQ68VCEWJdSNmazieja29RPEIQ9Rc9uOGQHn+z/5ObPU7dvMDA8gst19u9+ZZ8dWgbNhSL24ZPrxuo22WyWUCi048wrURRJJBKkUqnNZoMniWa5ieyQkbs4Pdw0TTIrFSJ9lqCxeLo5sqWpYRg0m1tH20ciEQKBAG+++SapVIqf+Zmf2XFfRVF46aWX+OY3v7nleN/85je5du3aruf88MMPAejp6Tnq8i2OGdM0qZdbuHy7p3hGega4Mj5JS29xY2aK1Q5sAPalwy9uc5d254PgCwTI5TJHPs5JIYedCHYZdbV82ks5FKZpYprmvkM8fT4f5fKT9xqLCyWCo90VnLm1KuFeN4JoCRqLp5sDRWpef/11vvCFLzA4OEi5XOaP//iP+da3vsU3vvENAP7oj/6ICxcuEI1Geeedd/i1X/s1vvKVrzA5+XDS7+c+9zm+9KUv8Su/8isAfPWrX+XLX/4yL7/8Mq+88gq/8zu/Q7Va5e/+3b8LtL1v/viP/5if/umfJhwOc/36db7yla/w6U9/mqtXr3br92BxTBSSNQKJzsYg9EUT9EUTpHIZbkxP4XW5Ge7bbhbWEfeb+lKlDOl0HgFh8w5VENr28LFICG8Xplv39A5QLhWZvneLkdHJY5mY3W2UHjfNpRJqqoYSO5kxFd2iWCwSCAT23c7hcFCtVo9/QV2ktFLG29PdwuBiuoYv6kSUnqzJ4xYWh+FA376pVIpf/MVfZH19Hb/fz9WrV/nGN77BT/7kTwIwNTXF66+/Ti6XY3h4mH/2z/4ZX/nKV7Yc40F66gF/62/9LdLpNP/yX/5LNjY2eP755/nzP//zzeJhRVH4q7/6q02xMzAwwM/93M/xz//5Pz/qa7c4ZhrVFopTRjzg3WEsFCEWipAvF7k5fQ/FpjAxNNRR2Nw0TWbWFmguryDoLYKeAJfGtlv/m4bJjel7THZpxpHX58ft8bIwd49QJErgCRgGaR/0UX57FUwTJX7y84sOi67rHQtHwzCOeTXdwzRNGoUmvsvd842pV1RkRcLWxVSWhcVZxhqTYHFs5NaqhHqPfrGsNmrMLS8jiRLnh0e33XFWmlWWVtcxTRMBgaFEHy6bhLq6in1kd5O/5NwMzZbG4GR3h/itry9j6MaBZi+dNFqpSWu5jH00gFZooBeaKEM+JNfZL6yt1+vouo7Hs38NUzabJRw++wITIDuVwz/sQ7Z3J9Kn6wbFVJ1QlyM/FhYnzUGu32c/Tm7xRFJI1vDHutOu7Xa4uDIxiaq1uD0/g3S/uNekfXfrkB1cGB7bVi8gBQKoCwsow8PbjtlKpgjZndzVK11Z46Pomo6yT5v4aaKmahiVFs5L7YiA4vRgJtyoiyXUpo4gCigjfkT5bKYrnE4n6XR6X1FTKBSemBsYvWVgGGbXBI1hmOSs1m2LZxBL1Fh0nUa1haxIW5xRu4Ei27g83vmEbTkYxHC5aM7NIUgPw++mbiCHgkjxGD2FHMsb6wwkjl50bugGc7N3iff04fWezc4irdjAKKs4xgJbHhcEYbMbytAMmvNFME0E4WwKHJfLRbFY3NbO/YBGo4FhGE9MS3duJk94sntt9g8EjdXpZPGsYYkai65imibVYpNw79m4QxTt9j19aCKBEDemp44saqrlMmvry4yMnjuzhcKGatBaqWxGaHZDlEWc931sDM1AXShi3i9NkXwKSuL00xlut5tKpUIqldrS2m2aJvl8HmiPcHliMNn089JUlVIm3W7guz/aw+Zw4gl29noeREktQWPxLHI2v30tnljy6zWCZ+CidxB6YtEjRWvSqXXqjRoT5y52eWXdpX4rjfO5g015FmURx/jDCIJWaNCYbosGExBEAVuP+1RqcTweD263m0KhsKUg2O/3n1lhuROFxSL+QS8A5WwGvdUi1Nu3ZZtGtUJ6aYFI/+Ce3krVYhObwyoMtnh2eXL+8i3OPJV8E5dPOXC302GoFvKo9drmnaxpgi8aQz5EuiHiD3EjdfhoTaGQP/OCBsA+EaQ5UwBBQACUQS/iAWs45IADOeDY/NnUDVprFdS1ChgmmGDr8yB7TqamSBAEgsEn2x25VdNQhhSqhTyiJOENb4+kOdwe7C43meVFooPDOx6nXlHRNQNf2JrpZPHsYokai66g1jUM3cARPF4XZ9MwyK4s4QlHCAa23s0WNtaRFBve0MFbYo8SrZFlmVardebrN2SPgnyuncIwDIPWYhnj/oRoUZGwDXgQRRHDMDoebSJIIsrA1mLc5mKR1moFx7mglQLZB9M0N30iG9UK4b7dR7kIgoA3FKFayOMObBVy1UKTVlMnEH+yPIcsLLrN2ar+s3giqZVUGtUWvsjx3yFmV5YI9w/icG+v2QkkehBFiWohf+DjRvwh8uXiodY0NDzO8uIshXz2UPufBqIoYh/x45wI4pwIYos6aM4WqU/nqV/PUJ/KUZ/KoRWb+x/sMexDfuxDXuo3MxjNozs2P81UVqu4e9y01CY2u2Pf7R0eTztCeR/DMMmuVZAV0RI0FhZYkRqLLlDM1GnVNQqp9pdtMO7Cu0sI3DAMytkG9bJKYjRwoPNUC3k8ocieNQXuQJDs6vK2O9lO6IslWFpfY7DnYEMpRVFkdPw86+vLVFbK9PcPH/jcp43oUnBObE8Zqatl6sm2K699NNBxF5TosOG8HKFxN4ccc2GzUiI70ig3ifZ7KGVSuPydfWYN3dj8b269RrjPbUXELCzuY4kaiyNRytQJ97pRHA+7T7JrFfK3sptftKIs0DsRQBAE7v0wSWzIh8unsHI3R//5zjtU1HqNYE/fvtvZ7Ha0VuvA9TVhf4C11OHnTvX0DFAuF5m+d5vRsUkk6ckv1lT62gWshm7QvJPDNuzruF5GEAScF8I0l0s0Ky3sQ0+GZ8xp4PT5qZeKO9bTPM4D80lL0FhYbMcSNRaHplnXQGBT0ED7Qhbp88Ij2iO3WuCjb95CkiQcXpmVqQKyJOL0H7DltsMvb6fPTzWfwx+LH+z4QH88wcLaCsO9h5s55fX6cbu9zM9MEYkn8Hd4933SaJpGsfgw3SbL8q6eL9C+kDovR6hP5ZAnD/a+2Qd8tLJ16neyOM6HrIvwfWqZOs5gO+VkU+yUm+l992lUK9gczvZMNatt28JiG1ZNjcWhME2TSq6xb6dFOZdBsjWY/Ng5rvzEBcZeGMPpCWGYTooba5RSpYOctKPNGuUyrg4GHu5E0OenVD2ay7AoiiSGEqSWP6BVP3tTorPZLOVymVAoRDgcJhwO43Q6SaVS1Gq1PfcVbCK16/tffB/HFnZiHw1Qv5lBr7cOu/SnikqyhucR+wO7y02ttHtdl2malLMZBNGN3SUjW23bFhbbsESNxaHoZPp2rVREEET8sQTO+ykLURKZeDnOuVd6ef6151ibXWHhembP4zzA5nDS3OeiC6A26tiUw3dhDcZ7WdxYPfT+ANOZHzFx+bM0cilq6aMdq5tks1m8Xi/B4NbOJEVRiMViNJtNGo3Grvs7RgMItsN9bYh2CeflCK2VCs3FwxVlPy2U1yq4HiusdweCaGqTUjq1bXu1XiOzvEi4fwC1ruH0nt0xHBYWp4klaiwOTLbS5O5KkaX7BaS70aiUd3VBfZCyOvfKJA5PjdkPUvtOVPYEQ5QyKfaawVorFbE7j9YFEvD5qFbrh95/NvMePd4xALx9Y4iSRGV94cDHadXLlFemqW4s7hvx6WQadaPRwGaz7TmXKhgMUi7vE106gg+RIAg4JoJIIedmh5VR1w59vCcRXdVp5Jt4duhW8kViOL0+cmur5DfWyG+skVtbpVmrER0cRq0ZKE6rasDCYjesvw6LA2EYJrmqyrWXe8lk6nx4J4MoC1waCyE9drHrJN8vShJ2p0SkP8TizSwVES5fiuy6b7hvgMzyIoFYAptjawtsKdO+w/VFYod8dUenWM9gE23EfWObjzlCCZrFNJW1WTy9Y+hqncrKHKKi4O2fAKCyvoCptzZ/BqglV/APX0BX6zQLORrZjfYTprlpOgjt35NWqyA5XEgOJ+744I5rq1QqRCL7F6LKsoyu67sWOhtNHXW1vFlEfBhkr4I8GcI0TdTFEkZTR3TIz0QxcWYqR/TS7pPDbQ7HNkdhaHtBNest/FGrddvCYjcsUWNxIGbTFcbCTsjNExEMIr12WvY4P7q5gteWZnxkHLvDh2kYCEJngUBDN5AVmZGrUd79cIMffrRBPOZmuHf7BU6UJKKDw5QyaSoPfGEEAdMw8YRCKI7TbR3WjSZ22/YxEXZ/FASZwvR1REXBP3oJrV6hOHcLBAFHOI7scFGcv40jFEMt5/H0DgMgKU5csf27vqAd3SlMXycwcXXbc50WlXq9XorF4q6zk9xXo2ilJvV7+ba2oi2t9FoL54UQotL518qjgzT1qkp9KgeALeFG9h+vkeNpUFqp4E24OzY3fIBpmpRzDcJ9Z2OmmoXFWcUSNRYdk6s0CNXnEIseCA6DKEGrjq24QEicZ+L8T5JZX0RrLeHy+jHN7V/cjfseGw7p4XPiI///pefiXJ/K4rJJfHAzxUCfl0hwu1DxRQ42w+igCKKAoRtb1tYJkihTae5c92P3BbH7HnZDyU4P/tFL6K0mkq19AfePXKSWWUOyu5CUgws0Q20iKgrV5DKuWP+humOazSZO597nln12ZN9W0WEYBs3pAs4Ddkc9QHIrm/uqaxXqG9W2Y/GI78Dvw1nE0AwaxSaxPaI0u5FbrxLsebJmqllYnAaWqLHoDNOkvPghQxdegUfvMm1OiEzQY/OxMvVtBs5/BoBKMc/G+ge0jAr++DiLzRaSAM77+9abBroJfaKJ9IifzIOLcCzqJhZ1M79UYHm1zPmJEM4Dzik6Cv6gi1yuRCQa6HifTGWZTHWJ8/FPHOhcDwTNA1yRg5n/PYrdH8Huj9Cql6ksTwPgiMSxufyIotjROId6vd5RmupxHkQfjJqG6Drae6Xcn/JuqDrN2UJ7plSPe5uQepJI38numXbajXKugSdgP5GZahYWTzqWqLHoiNW5m8THnt8qaB7B64+zvDEHlRR4Ynj8QYbPv0o6m+WH83cYs5mEE0PYHQ9TSqZp8oOZWa6Mjmw9lkvh7mwOmyJRqWlMjgSZny+ii3B54mR8TkLuICvrKSIE9txO0zWmUm8hSzJ22XNgQXNc2JxebPcnP9dSq9TTG9jdbnI5lXh8d/8eVVUPnBp5FOdkiMZMvl32Y4L9vuniYREVCef9eVXqSpn6WhXZr2DrebLSMLmZAr5+74F/t41qu/3dfgpT0C0snkQsUWOxL42WjmCCw7H3bJrhoedYnP8hQxfahbp2l5tsucZFQSDU20c2uUi+tYzDHcDpDFDOpHlldIR7DZXz7ofpjtFBH+WqimmYxEJOlpMVLp4P02xofHQ7jc9nZ3Rgd6O4buCwOWjp+/up3E5+i8uJzyCKnf8pZVWNgqYh0J6WbQKSAEPO44lCPKjHUSslpOQS88lF+icuYXNuTWfU63UqlQrR6NFSe47xdorNUHUat7NIUReiLCCHjlbvpPS3RVorV6c+lUO0SyhDvjNvQJdfKGJzyZtGe53Sauo0Ki1rppOFxQGwRI3FviznakwE9/9idTlctLSHrdCFlkZfMEhIFikk15EEO5Jip5rLk2su4g6EQBCIKTayqkb4kQJTr7vddvz9Dzd45ep9keSQef5SjGyuzoe3UvQmPMTCx/eFv1fr+HpxmmIjSdg9eCBBM19r4pFFxlxbL3BNw+B2pc64y45ywLv5Ur2Gr4M2dsXjI+K5TMgwWJm6AXoLQZJwxQYxTRNFUY4saB5FVCSclyK0MnWMhk79Vgbnpc7TWvl8fkurummaOBwOPCEPtpATvarSuJcHUcA+6j9zdTeGYZC+lcXX58UZOpigMQyzPYLEKgy2sDgQlqix2JNMpUnIrUCnw5qFh23AuZbOqKsdfXh0ZlMw0a4Z0TSV1ModTBMy9gDhxPYOH59HIZ1vEH9EvIRDTsIhJ4vLJT5cT3FuPIjL0d3w/PTSAgOJxI7P3d74DlH3AOfjnzzQMZcbKhFFxitvb5W2iyIXPU7uVOpc8HQW0dB1gw8WbhByu1lKtQh4gvSHd17zo4iiyOCF5zAMncryNL7wwes8DoLtvslcvaJi1FRE197Gcbquk06nCYfD2+p/qtUqmUyGSCSyWVhsaDrN2SIYJsqQF8l5+qkawzDYeD9N4vlox0NAHyW3VrEEjYXFIbBEjcWuNFo6hZrKeMwLjf3N3QB8rjD/3w+vMxJWaLki4No9pSLLConBSwBsrK+ysXQHAI8/isffvqO/OB7i3ZvJLaLmAUMDPgb7vdydzqFqBlfOh49UD/KAer1EqZplYnB423P3Ut8n5hkh4hk48HGbhoFX3vuC3u9QSDZbxO17X5hrzQZ3VqZ4ceQyotgWSZliipuLd3DanYwltq/9cSrLM3ge8cU5bpznQjSm8wiOJvaB3T1uMpkM8Xh8x7SS2+1GlmXy+TzBYDvNJcoSznNBTNOkuVBEVQ1sMRfyAdM93SR9I3sEQVMlmLAGVVpYHAbB3CvG/hRRKpXw+/0Ui0V8vqff4Ksb/GhpkbjPxWAgiplbpJUug+P+xcg0kSIRJM8jd5PFVbB7+O6yyqcmory/uoCu1nHLAlFfiKh/Z1O8qq5T0nR67O0Lfim3Qa2SB8AbTDC7qjM+6Me1R7Gk2tK5PZXF7bExMXy0IZIzt95Gi5iASVNvoog2BEGkoVXp9U0Q844e+Ji5loYABG3730fM1ZqbEa6dKFRLLGeWuDJ0ecfnq40K88llRFHgfN/Epuh5FLVSoFUt7WrUd5xo2TpaoYljLLDtuUqlgiiKuFx7p9MeRGt2Q12roJdVJL8dJdGdVugHqbD9hHN+voAr7MLuO/gog2K6jtNjs1yDLSwe4SDXb+svx2JHdEMn4jfQdIPvvfcWYrXKxeEogXiI6XKFiUgPrWQSLZXCPjra7nrCBIcfgfbAwxf7hrlXbXDO7SBZSHF7+S4AXqeHgcjDKdgrjRaT7od31b5QAl8oAWqVqY++gWR6cdVHoU7bRdfmBP/WVJVik3j+cox8ocEHN1Mk4m56oge/mG0sTuMJNUjEPwvAdOoHTMRePfBxHqfY0hl2dnaR0/a4z2iqNRZTKzw3srOgAXA7PFweukBL07izMo1hGpzrGcauPBQK9fQa/pGLnb+ALiKHnejVFs3l8raITbPZJNxBOszn81EqlXb9gnvQEq49KCp2SNiHDldcruXqtNLtWjGzZeAY9e2aQms1NAzVOJSgqRaa2OySJWgsLI6A9ddjsSOLpUVG/CPouRwD/RPY4jE+WJunOPV9+p0u3lm/iSk56JNEEu8vYp+8Av7+bceJKjJL9SaDgRjxQDtSU6jmNwVO3rAxmdieyjGrGaZmPyB87lNE/Y8VrzZKkL4H0XPb9gsGHAQDDpbXynxwI8X4SACvp7MLTKWYxeZwYD5S89INQQMQs8skVY3EPmklAHmXtINpmtxcnuHF0SsdndMmy1waPI9pmkytzdPSGgxFehDyGdw9wwdZftexD/rQsnXqtzPYz4cOnDZUFIVicf+hmHLIiXy/qLg+lWsXFY/59z2foRmo80VMw0Ty2bcYCtanckg+O8oOZnj56TzRywf3+GlUWxiGiTfw5PrwWFicBSxRY7GNslrGbWvn9PVisR2JAV7oHYHetqfMuKFDq85cpcp71RmM+XlEb4bne0e21AIEbTICcK/aICBLxOw2Au4gLZuHQktn1NRIpeZI0Tbem+gZQxYEbt75LuNXXsNp3yHa4vC13YzzixAc2vE1DPR6Gej1cncmR1PVuDwZQdqjO8YwDPLpDQbGL5HJzGEYRlfqcx7gliTWGq19RU2q2SJs23nm0s2l21zsnzxwrYUgCJzva7+H91bnYN1kLHF69SYPkMNORL+d5u0ctkHvgYz1qtUqbnfnkbjNouJW2/UYwD7iR1S2/q6NukZzsQSSgH3Yh7jDe+GcDKEmq9sEWWm1gucQtTAtVadeVgl2KU1mYfEsY9XUWGxjtjDLWGAMvVLFqFWxxfYfENmcn0fv7+XmxhIbxTo/c3n77KGyppNR2xOZw4qM77EuIF3XmF6fQy4sIEUmGEmMbDvGFjLTENm/0FXTDG5OZXE5Zc6N7lxvszp3h8TQBJIko+sq6fQ3iMW+cKB27f3IqBqaae4qbJqGwVJdZcK9XXAsJOdx2n3EA0fvVNI1g8XZHKYJfcN+HF3uHDsMjfkigiRCXKHRaOD3750qSqfTR2o/NwwDda6IqZso/R4kt4JWUWktlXBe7CzSYmhGu039QgTBJpC5vfegyp3XYZJbqxLptzqdLCx2w6qpsTg0i6k5Ap4AAHo2g22ww0JSw8Bls2MT7HxseOeLjVeWdmxnfoAkyZzvPwdOCcL7CBoAyQZ6q/3fPZBlkecvRSmWm3x4M0U04qIv8fAikk0u4wtFkST5/joUYrEvkMt9F1F0Egy+2pVOlIgik2y2mK42GHPZER855kazRVnTdxQ0uXIa3RS6ImgAJFlkdDKCYRisLhRRVZ1AxEU4cnomb44Rf7t2ZbaMGjX3HOdQqVT2nU21H6IobpoENheKqEtlTFHA1aGgARBlEeeVCI3bOWqYBMcPVqBumibZlQqRAUvQWFh0C0vUWGximiYJI8pKeo2ckcKrCSgrK+B24/F4UJTda1MESaKmqpTUKi94TqijRpRBa+4rah7g99p5/nKMtWSFD26mGB3yYxMaGJqGN771YiaKMpHIT9Bqlchm/xrZFiTgf+HIS47bbUQUmYW6uuXxiCLvGMFRW3WWs2meG+5+Ua8oigzcj1xlNirMTWVQXDb6j9mteTfkkBPRZ4epHPlKGkfYs+WuzDRNstksiqJ0NdpqH/ZjtAzK31tF73MjeR6mwUzTJJ/PbzFidDqdm91Zoijiuhyh9KMNZEfnX6emYZJZqRDp91it2xYWXcRKP1ls0krXkMNODNMgm81SrBbQlxaQhwYJ++NomobL5dpWy6CXyxj1Ot/MpXjt3MWj16JkZyE8tv92mRmIjB/6NPfm8+TTd3j5pVc2ozS70WymKZdvotjj+Lwn1zX07uxHvDR69cQufNVyk43VMoIIQ2OhPeuQjpPmfBHVaKEGtr7uYDDY1VqnRzH0dkrKMdEWetVqlWq1SjgcRpIeRhir1ermOAlRFCkslnD4FRyBzuqUWqpOMVUj3OtBsIZUWljsi5V+sjgwpmGCIGCYBplMhlgsRiwWQ7W5EXxelvLrGIZBo+HEMAy83oetuK31dRaCHs5FY3tecL47fxtRFJgIJ4h59gjVO4NQToJ398GL9xd90Je5hXMjQfTBj/HO9feYjAeJ9u4ukOz2KHb7T1Cvr5DJvInTOYTb3YHwOgK3lm5zqf/cid7Ju712xs7b23U3M+26m8SAF7f7ZLty7CN+xGwdW7aB49zRfIc6RZTE9t8B0Gg0UFWV2A71ZG63G6fTSTqdJh6PozU0HEOd3SjVSipqXSPSv7v5oIWFxeE5W8NSLE4NLVNHDjvI5XJb3FyV/j7MXI4hb5SJkQs4XE7uzt1kbvEeWqNBY2oKaWiA6+kPWCml+XB9YddzSKLIxwfPk6s1+NbcDWayaztv6ApBswxqdfcFp6cg0J00l9s+jD/cy9rCTfKZ1T23dTr7iUTaHjaZzJvUaitdWcPjLKYWifiiOO1Hqx05LA/qbsbORyhk6szezZBJVU50DbawE1ufh9rNDIZ+NAHbMWa7iLhcLm86Fu+EKIr4/X5KpRKSXUKra3sf1jQpJGuYpmkNqLSwOEas9JMFpm6i5RtIITv5fH5H8zMtl0MvFhFEEdM0SaeT1Fo1SMRZMJb57OjnkEWZfK3C9Y1FEATOR/sI1ZqY9Tr5epWZUoZPvPLpzWPO5VIs5je4khgm4t7hPcnNt6MxwRF4EAGqZtr/AgOgHL0F9qO7GS6Nh5Dv29mXi2nK+Q0C4QFc3sC++5fLt2k2N/B6r2C3d2cYZK6cJV8tdzTq4CTJpqoUcnXsDon+I7o2HwRDM2jcyeIYDyAe81wnQ9VoLleoBfSOTACz2SzBYJDs3TzRi+3tm7UW9XIL4f5H9sE3rDfkQDrE2AQLi2edg1y/LVFjQStVQ446KRaLeDweZHn/rOQDm/pMLkWz1aDvMbt9LZfj5tQNakEfOJ0EnR5GXAGEZBLR693SJv7+6jylZpVPDJ5nuZhjo/zQVG29lKffLGEXRK72DCB6Iu30VBfQdYNvX5/lsy9sbwvPbizQqJeID5xH3mdeE0Cx+AGaVkGWffj9zx16TfVmjZmNea4MXTr0MY6belVlbbmEAAw+IgiP/bx3s9ji7mOd6WSoGtXFImbc1tH3RCqVIhaLUVgoITslbF6FRlXDHz2dCJuFxdOIVVNj0TFqXSO7WsFZ18APhq5TyGYwTQNPMITNvvsFxDAMMrkk58e3OtxquRxms8nz1358+04eD1omQyuZwhZvC5sX+0bQdYPvLd6h0Cjzsxc/tm23mqryvZV5zHKS0ZDOQGDn1ttmS+ej9SVaRgsBAZO2Zg+5XFyIPXQ8TlWKvLu8QMyzc71KODGMYRikVu4iiBLx/sldfw8A/vudUaqaIZv9LgBO5wgu13aX5d2oN+vcWZ3hxdHtHj9nCadbYex8BF0zWJprdwbJskTvkP9YBY7zfJjmfAGjqaEkjqcNurlYxjUcoFAqdLT9gwLiwLCPwnQeTTcJ9Fot2hYWp4Ulap5xKoUmPS/EqKSKrH2whOE0OPfKFQRBpJLLUsqkcfkDOD0PCxsNw0AQBOYW7zE6tH1UgZ7PYx/bvYhWjkRozs1jmuZm7Y4kiQQ8GonAzlEYl6Lw6dG2sLiX3uA7c1NIosCLvSPcSq7T1BvtY0sCz/cOYpe3FramKmXeWri3KXQCThdutc7z535s13WKokhi8CKtZp3V+eu4vCGCkb1FiqJECIc/BUClcm9T4Pj9LyDLu1/sirUSC8nFMy9oHkWSRUbOtVMuLVVnZT6PYZj4Q07Ch5i71Qn2kQDqepXGQhHHcHdbzw3DAM1Askl0EsDWdX3z86tXW3hCDuSwFaGxsDhNrPTTM0ytpCJKApKsU0qnCfcPsHBrCafpIjDsw35/ZlIpk0a22XD5A0DbzdXusFEsFxjoHd5yTC2dRnA6t07v3gFT02itr6MMtOc+pWopktUkV6KdzTUCUDWND9YWuJzowX2I+ppGq8nU0iyCIHJpaGJL2+5OVIoZirk1ApEB3N7OU2CGYVAsvodhNBBFB37/S1u6xNLFLOlimouD5w/8Gs4i2XSVYq6OYj++2hstV6eVquM8H9p/4w6p38linwgiyiLlchlRFPccxZBMJonFYhg1DbOhWYLGwuKYsGpqdsASNdvJb1QJJtxkV5YI97drYnRdJ5VKYa860JsG4cn2l3x2ZYlQ30C720OSWE0uMDm2fVK0uriIMrTzPKbHac7ObkZ03l59m4/3fbx7L+4A6LrOh7O3eelcZ4Iql1yiXisQ65/EZjtYq7OmVSgU3mdd1ZGVBBXVjaDVeXlw7/TWk0itorK6WCDe58PXoYfLQTDqLRozBRwXw4hH9NMxGhrqSnnTZRigUCggiuK27wvDMEin0wQCAWRNxGzqyKHTn6VlYfG0YtXUWOxLtdjE7rLRajawOR7eYUqSRDweJ5vNggFrtzawO+wIISfzd2+TGBohmV+jN759svYDHk0r7YWwT2TkpJAkCccBxEkoPohh9JNamQIg1j/ZsSHchqbQcL3C+ZCdVmOJjzLL+ANDTFUb9Nht2+ZhHTvNClSSWx9zR9tDQ4+Iy6MwcSnGymKBakWlp7+7NxOi04bjYpjG7RyOMT+i6widUYqIqZk0pvMoo35ESSQQCFCv18lkMpuf5wef7c0IjSVoLCzOFJaoeUYxcw1qNY1mK0/fc1vrX0RR3BwWWPVUqZfq6Btg02QUm8JaboV1IYWtYuOl2NZUihyPo62vY+vt3fP8Wj6P+MjQwppW6+KrO37a9TYXaKkNNpZu4XQFCMZ2F3oAi/UmAVmi39FO69lcQ1w7P0SqmGYjPcu8J8ZYIITnpIRNbr49auJx9+bSGlTTnbk6d0D/UIC5qQy6bnTdoViURFxXItSnctiirkMLDFEUcZ4PYbR0mjMFRLuEfdiP0+nccc6UXlExW4YlaCwszhhW+ukZxGzp6JUWctDBxu050DyotgauqGvLHakoioRCD2sW1m7OkC01ufSxC4iiSK1V48PUh5iYOGQHL0RfQBRFmtPTKOPje0ZrmjMz2McfOvgWmgXmC/O8ED/6fKXDcGv+HpdGthc9d0q1lKWYW8Mf6sXt2+5vUtMNMmqLQefuEaH55AK38mV+avw8NvmYJ2cXlsDhb//bCbXajuCERrtyOl3VWVoqMjLevRqYx2kuFhFsEkoXuo+aK2Ukn4Ls2/n9as4XUYZ91twmC4sTwEo/WeyJlm1gS7QLIH2DMdaXF4kFhqgnm3jjTpz3pzW3Wi02NjaIx+PomoY75iXr0DcjMy6ba7MOpqJWeHv9bQAGI/3E7t7FPjGB8JjnjWmaNO/dQxke3vJ4wB6grteP82XvjXA0be/2hXH7wuRTyxRza0R7J7ApD+/iN5otRl17p7hG4sOInga3Vmdw2Wyc22Nsw5EwzfYg0N0EDTw0NtRU6MCnZz8kRcI8Zldg+5C/3Rk1V8QxerTOKHu/l+qtNLkWuOIuPD1bC4aVQR+ttSpKn9W+bWFxlrBEzTOGqRkIysP0RqVWI+D14u3x4O3xUFqpUL6VxT/gxe5TiMViZDIZxGadUN8AUrmMbuhI4tYUiUfx8Mm+TwIwV5jjPW8W6b07jPhHCT4wyzNNTMNoi53HalBUTUVg612vls9jlEoAiB4PcgcOr6dNMDZAkAGWpt9F8VaJxT6FKIp0ej/f77KjRUfoEQ0+WrhF2BOgP9LX3UUWFtsuzfsRHIHcXNfSUE6HjUpVxeM+ukjaDaXHjVZoUJ/K4Zw8WlSoUNboeSVObaNO9naW4PlHhmkK9/9ZWFicKSzP7mcMLd9ACrYjBuVyGZ/Phz/eQ3ppAdM08fV7iF0KU8vVSd1IY2gG1VwWh7cdah/pG2BudWnPc4wGRvlE/yf52Kt/k0zExru2Vd61rZIMSdhHR7cJGoDvb3yfH4u3PWP0QoHm7CyCIKAMDaEMDSEoCs3ZWbRcrvu/FB5a2XeDerWIYncTifwYudy3KBY/6njfhm7gkSRcDhfPDV/CblO4vnCLQjXfvQUaOuwzlRwAQQBj75lGByEx6CO1Uura8XZDDjiw9Xmo384c6Tj2gB1RFPH0uvGP+8neytIotP2QBFFA8tjQ7v9sYWFxNrAiNc8Qpmkys15mMuxAEARUVd2cth3uGyC3uoIgirh8ftwJhYpSZvGHd1EcPjbKRfyedvpA11TYuyZ2k0uRh3b/88V53l57G9M0CTvCnA+fp6E1eD/1PgF7AFmS0fJ5zFptm3mf5PUieb20kkm0TAY5srOj8GnTrFfJp5bpHWm3u0cin6VWWSSz8BdEel/FG9g+9flRNtQWo4/U3UT9UaL+KPPJRRbTa1zom0CxdSHSYRgP52nthdi9r4iTrD+RPQricID6zQzOy4f7rDxabigrMtErUVben8XUdTz97rboqxj4XT2Iytno5LOweNaxRM0zxEq+ztBEmOnpdrTjkRpgREki3N9WKrVSEa2uEkz0EuptO+imUikisfYO1YXDRUtG/COM+Ntpj1QtxVurb2GTbLySeAX5/sVTz+X2dCO2xeM0Z2eRwuEzV6TZUhuk16fpH31+87FqehGtWeXFyZ/mRnKFkdJNPPExpB2mb7eM9kV0p9c1Eh/CMAzurNzDJstHq7cJDEF+fv+0UmEZvD2HP89Opw45yaSrRI7JcfhRRJeMfTxA7Xoax+Uw2VyKaCTR0b6llTKeR0YxqPUapXSKxJVBtJpBebFE8FyQplRn9YN7xK8OoTit6dsWFqeNJWqeIVTdwOWUmZyMoGkG738wR6koMDa+tVbF5dtaZFmtVjcjOgAul5tyuYjXe/hizJgrRsy1NWqhZTLI0f0nXdsGBtDW1rD1da/WxDhi/knTWmws32Rg7OX2z40qleQsrvAA7mjbjHA01k9KbSFmFzEMHW/v+c0ajbpusFBvct69e4uwKIpcGjxPvVnjo4WbhD3Bw9XbPEg9tepg28UFV29BqwZKhyG5DglF3czezRy7qJmdydLSDPw+O/HzYX741rfRPVCplRkZ3D7A9HEaRRVff/szb+g6pUyayOAwALIfHFej5O7maBZV3AODlDJpQr39iGfEe8nC4lnFEjXPCKlSg7hYgmwSFDeyN8FLL46QTmW5ezeNy2ljcCiw4761Wm3TtwYgGuthbubukUTNThjVKkoHaSVRUWg1zk4tg6HrrC18SP/oSwBUknOYeovA0NY5Tj5Zwi4KLPmHwNBYnL+FqLhwhvuQBYELns5s9p12F88NXyZdTPHRwk0GI/0EPYGDLTo8Bul74AqD+7EC7HoeyhsQPZ6xDWm1hDetEYt2FjU5KJVKE0kSGRsPk9woc2c6jc09SVpZxi+azC3ewzQNDNOkPzGI09kWWJXUHEZLxTR1KnqZiB5AlCTyG2ubjtuPEro/osHQDYrpCIXk+mZk08LC4nSwRM2zQH6BRrpAbHAEHL3QLENmGkkQcboi+Pw2dE3izp00Ab+dnt6HPgCFQgG3202l1CSXqmGYBoIAasnOvY0lziW2f9kfmgNESx5vFT8qmna4gljDMFiZf5/+kRfRGhWqyTnc8VEU185eCnZRZOJBNMZ7BbVaoJaZxumPg3PvepvHifpjRP0xFpILLGVWudB/DuUg/jbRc1BJQ2amXR/yAMUDsQsHWstBcERkNtKprouaQjFPJpfk7lqVn77W9juKJ7zEE+2Iy0v08u7KDJoi83zPMADLaws0N5YpN+YZ6blEINb25fH26Kwv3cIX6mFDNynW1c1mJwOToE0mZGt/BkVJRJREVPV4W9YtLCz2xzLfe9pJ36PhSpBt2egLPBYJaDUgP0/R3ouqqoRCIcollfWNCq1GE61Vw+Vy4bA7cXoUIlE3kvywuPTbc7f52MA49m4UrgJ6pYpRrWCLx/ferlDANAzk0NFadhuVCrVSgcX0OmF/EK/diWmaODzebSm43ViZfZ/E0GVkWSE99R2ik58+1FrquTXUSg53bBTZcfDaDMMwuLtyD0GUON+3t/HhafP/u3udi4EIWqmA3e7ANE08Xh+h8P6px93I5FLU6lUG+0aoq03eXpplIhxjMLg98rdUSDOTXeczI5e3uGHfXP9reoQ+PDUbgiigA9fXlnEXNrjwideQHnHATqstKprByCPeQ3MfTDH6wtM3w8vC4rSxBlruwDMpasobINuZrdgYjbh3vtA1K1DPM6cGmF5NYxomJiAh8tpLe3uZmKbJm7PX+dz4c11b8uNOwztuMz2NfWL/uoi9KOfa7b7eUISPZm/z3NjFzeeqhTyaquKP7S2uVuY+IN5/YdNkT60WqeeW8Q9sH/TZ8brWZzC0Bp6eSaRDuArXm3Xurc8RdAcYjHbZ36ZLvL0wzceHH75/hmFQKuXJ57LYHXZiTh+S242g7C+WM7M5Psx8yOTAGAO9Wwep3kquUKjX+MTwdqdoVdP4q9mPeNnrIGZvv3+tVIaV0jR6Xy/j/Z/lTqXOebeD1OIszdQiodgwnuGHxdVlTSff0jZdolfvzRPu68fhPmY3aAuLZwzLUdiiTbMC3gRCpbJN0BRrKtdXiwA4S+tEhoL81AsHs8QXBIFzkX5uJRe5FO9sMvd+KIODNO7exX7u3DY/G9M02yMYBo5WvNqsVTENA18kRrZQwO/Z+kfiDgSpFvLUSsVdIzZrCzeI9pzb4hqsuP1gmpRWpvD1H+6O3dszjqHrVJMzGIaOIIi4Y6NIHUbDnHYnzw1fIlfOcn3hFr2hBJEdxjacJmV1az2UKIp4WgZObFQKFeaTafrDUUTdQFSUXQvCK+kaggaTwxfI5vP0JYwtkZdL8X6qzSZ/de8WlxN9JHyBzecUAX7ab+e9usmyCc97oxDyMHLhVUrpm7x16//NyPD/jCA4kW124q98jvUP3qKu1YiOt6e5e2WJpNraPKbTY6NWUi1RY2FxiliRmqeZ7CxZez+CIBB6xMX1r++m8DltvDDgb18E0vfa9RUPMM32bKBHjddkO/h3LoL83sIdnu8dxqN0Vui6H6ZhoC4sgCC0hY0gYOo6GEbbiO+I9TS5tVVCve0L5eNRmt22e5SNpdv4w3043TsLHrVaoJ5bxdt3gerGLHZ/FMUdONRaDcOgujGDcf+98MTHkA4wUXw5s0KpVuLiwIUzkZL6xr0bXEn00+sLbj6mrqwiul3IwfZjhm6wMD+N0+Mm7g3SSiaxjz4U3IZmoK5XyK1X6X2l3XLe0jTuzM0QCYXojWyvTfpgdZGWofHKQDvSYq5+hOEbQ/S4SVYK3Hr3ba598vO47v9uF3MpGoV38ITOEXONUslmCPb0kb/+PlWPQM/QFSRJpqzpNAwDOZvCG46itQT0loE70Pl7ZGFhsTcHuX4fyFH4D/7gD7h69So+nw+fz8e1a9f4sz/7s83nZ2dn+dKXvkQ0GsXn8/HzP//zJJPJfY/7+7//+wwPD+NwOHj11Vf54Q9/uOX5RqPBP/gH/4BwOIzH4+Hnfu7nOjquBRTrrS2CBsAmCbw09Ijl+6MjDxolSN8Fb6LdIfPgnzMEydugbp+m/Ymh83x/6V7X1iyIIvbRUewjI9gGB7ENDGAfGcE+NtaVAmFBbF/cDcPYNpphp+0eJbU6hTfYs6ugAVDcAdzREUrLN3DFBqnn1w69VlEU8faew99/EW/veWqZZYqrdyiu3EZX9+8AG4j0M5oY573ZjzaF0Wniszu2CBq9UEBQbJuCBtqFt6Pjk3hdPhaSK6S1Jq31dXJzG9Tv5lDni4iCQGDYT+ZWBq2hU081ON83hmHoXJ++i2FsLdp9oW+I8XCcb3z3r8l88D1aDQWz2aC1uEgwnedjoX5+uDzNVLr9XhkOP5O+iyiyk7vZt1BcbrKry7i8QXqHn2Nj6TalfBKPJDK/soLD60NWFBxuG826hmk8E/eKFhZnjgOJmv7+fv7tv/23vPfee7z77rt89rOf5Wd/9me5desW1WqV1157DUEQePPNN3nrrbdQVZUvfvGL275gHuW//bf/xle/+lX+1b/6V7z//vs899xz/NRP/RSpVGpzm6985Sv86Z/+KW+88Qbf/va3WVtb42/+zb95+Ff9jLDX730LD4J1mgrl9Xbni/zYnabigvjFtmnbY8cVBIGLsUFuJhe7sOqtCIJwbBGGu0sznB/c3YDO0PQtP+dTazhcPtze4C57PER2uAgMPYck2xFFiUYhfeT1iqKIt2ccf98FvL3nqWdXKa7cvi9wdh8G6lQUXhi5yvvzt2m2Tm9oaLZaxufYGs3TcnlssZ27vjw+H6OjkwR7+lmYnqLh0VgR1tF7bZhuEdkvoQWazLxzi1x2lam/+ID+WA+TwyN8OHWHXLG45Xiu5TV+8pWPsyQ1mXJ5kCMRlOHhdhSopfEJTwxREPjruRvohgHOIFHJz8X4p5mtvovu0Siur1NMruNyRshvLPOj97/LeF8fTs9DH6dg3EV+Y7v4t7CwOAHMIxIMBs3/+B//o/mNb3zDFEXRLBaLm88VCgVTEATzL//yL3fd/5VXXjH/wT/4B5s/67pu9vb2ml/72tc2j2Gz2cw33nhjc5s7d+6YgPnOO+90vM5isWgCW9b3tLO4uGBq5fS2x797L/Xwh1reNIur7f+fmjJNw9j7oLpumunpHZ96a+HOIVd6suTWVsx7y/Pm/Nryvts9oF6tmhvLtw59zkpqzqym9z7fYdF13SxvzJqF5VtmYfmWqTVqu277wdwNs1g9nb+BZKlgvr0wteWx5vx8R/s+ut362rK5nF00V1YWzUI+a5qmaVarZfPeX219f6YXF8ypxfZ+hdu3zMzivJlbWzFzt98278zcNb8xdcNsaZppmqbZmJszmwsLpt5smlW1Yf6Pu++Z11NJ00zd3TzeYu6Geefd/2PLOe7kC+by7PtmrVLY8nh+o9rR67KwsNifg1y/Dx3L13WdN954g2q1yrVr15i9P4DQbn94h+9wOBBFke9973t8/vOf33YMVVV57733eP311zcfE0WRz3/+87zzzjsAvPfee7RarS37nz9/nsHBQd555x0+9rGP7bi+ZrNJs9nc/LlUOv5BemeNljOM1Ey2HWSdgc3HNwMfzTJUUg/raURpq1/JTtyvcXmcQqOM29Ydl1jDMLi7PIema+1hyI+fz2RzQvLj6aNCukYw1m6JNs3783uEh/sNxfoRJZnVjQU+dXXnzw60DfU2T2eaZDam6B994dCvyR0doZ5fo7IxhydxsILs/RBFEU+8fUzDMKilF9C1JgICrvAAsuPh+/L8yGXurtwjWy4wEu+ix1AHxLx+qq0W767M8nL//QhZh1E485H3I9HTru3SdI3FuWmKhTyGYRAcjZK/lyN4rt3qPz44RK5Y4Dvf+ibn/UFiF+7XTikNPJ4+ghvrvHnnI871DtArith6e1FXVnCNjPCzky/y5ze/R9np4eP3O80H3Oco+kw+Wv1LxiIvUxc8hJwuYqMvkF6bplrOEUm0OwbNZ6NU0cLizHFgUXPjxg2uXbtGo9HA4/Hw9a9/nYsXLxKNRnG73fz6r/86v/Vbv4VpmvzGb/wGuq6zvr6+47EymQy6rhN/zJckHo9z9+5dADY2NlAUhUAgsG2bjY2NXdf5ta99jd/8zd886Mt7aqg2NVyKBP4xKK5ANd22xHeFUarrkCm0U0zR7e2u+6K3tj10N7XGy32Hb7M2TZPZlUVqrXadyOTACPYDFMQ+YKmWZXB4524f3dBZTK5QazQwqxXEXS6opmmSWV4kOtS+QCWXp4j1H+L39BjOYC/Nco7y+gzeniPMbtqDRwUOQCU1j55tIJjgDA9ic7o533+OQiXPRwu36AnGiPkP7w9zUEZCbd+Yd1fmeLl/FLPTFOljnXClUoH0xjojo5OIj3gnqRWV9EdpQueDSHYZLZ/jk5/4NLd+9CPU1Dr9sR5wBrG1ysSHRnhpVWa9VuVHRpOXZmcRHA+72f6nRJwfmH7+5Pa7/E+jl5EXFvBPXuYql3lz5W38ioeX4207g2jvBJVihpX5D3E5JnB6rA4oC4vT4EA1NQCTk5N8+OGH/OAHP+CXf/mX+fKXv8zt27eJRqO88cYb/Omf/ikejwe/30+hUODFF1/c0mZ5Urz++usUi8XNf8vLyye+htNko9Sgx3+/fsHfD5EJcEWglkOzB9o/Bw55py5t/8I2TBNZOvj7vJLa4PrcXW7MT5GIRLg6ep6ro+cPJWjKucaeXSeSKDHaM8TlkUk+84nXyK2tUMpsrXWp5LJkV5aIDAwhCAKF7AZOtwdF6U4Uyu4Nganvv2GX8MRG8PddwNd/gWYlTWnlDqWVO7glmeeGL9HSWtxcvE2mVDixNY2EIoScXt5bnUfyetELe5/baDYRHpup9K2FORpqCPWxuifFoxC5GiE3U+DeD29gOpzkslliwSClYpl33n8XwxGAWhZ0jXDfAD2CxJWeAb5jNknfvkUrlWpHMB0BXo3G+Gygj29+5694yyGzUFeZqzf5dN/HGfGEuL72VzS1dv2M4hQIRL0EEy6c3u4YUlpYWByMA0dqFEVh/L452ksvvcSPfvQjfvd3f5c//MM/5LXXXmN2dpZMJoMsywQCARKJBKOjO4fbI5EIkiRt62RKJpMkEm0L9UQigaqqFAqFLdGaR7fZCbvdviUV9izxeOi7pRnYZBFsDvD3YaR3KVo1Oy0sProdfL3Z4ObiFIPRXq6OdmfGUH69yuClzjxZBEEg3D9Iq9kgv77aToOYJu5AEE+ofYxWs0m9mqFn8PBmejtySpkJT3R48/9X00vUsst4BIFotJ90vciNxXWi/iiJwP7zt47KaDjKXMbkRrPCxZKJYLMhurcLR1PTUBcWcEw+9P2pNBskgn4uDcSZvpfB7Vbo7XvY5mmaJlqohV1VsOXthC6EaNbrxEdGqDcafPv773Dlwnki2RlwRxBFEZ/DxWsXnuOdfIny0geMOYLgjUNmAX8kws++9n9hLpdkfn3qvhOxQNg9QNDZx730OyiSQsIVwePZZ/K5hYXFsXLkEIphGFtqV6AtVgKBAG+++SapVIqf+Zmf2XFfRVF46aWX+OY3v7nleN/85je5du0a0BZONpttyzZTU1MsLS1tbmOxldVCnf7gwy6T//OjVd6aSW/+s+0WUfH2QH5h74NnpiFwNKO9+Y0lZlYX+LFzzxEPnlzqYydsdgfBnj6CiV6CPX0ozocjCpKrt0kMXDrF1R0f7ugg/v6L+PsuoNUKeBoVhmSBVi3LjcU7rOd2T+12i9FIDJ/dyR27iJbP05ybp15qOz2bqkpzfp7lO29iP/cw9bdcyPLu6vym38zEuQiKInH7Vgpdb4vtTCZDIpHA1+PFN+wjfT2NWmlhmiZOh4PPXPs4SyurTNXtIIgY2XnIztKa+gGv9Pnwj73AdxQ3Rm8PyvAwksfTXm8ozieHLvLm3A3mcu0bMVEU6QlcpiU4cbn2duC2sLA4fg4UqXn99df5whe+wODgIOVymT/+4z/mW9/6Ft/4xjcA+KM/+iMuXLhANBrlnXfe4dd+7df4yle+wuQjd1mf+9zn+NKXvsSv/MqvAPDVr36VL3/5y7z88su88sor/M7v/A7VapW/+3f/LgB+v5+/9/f+Hl/96lcJhUL4fD5+9Vd/lWvXru1aJPysU6mtU602eFBRG7ZXeL7/Mm7H1jvhRlMjvV7B4ZQJhV3UVRsem7s94DDyWM2HaULmHrijICuPPWV2FHxotlQ+mr7NSGKQkW4OwgQKyRq+SHfM/wCSy/eI9p7tGUrdwhV5+F7kF+dZX8vzYSWFzX6DL77y8W2fm24yFokzk0nyXiVFwJlGXK1izNYYCr/CjO02vcOXmE1/f3P7GysaP/v8J7YcIxJ1Eww6mbqbIRi04XHJCLk5xEIS2Vb//7d350F2ZfVhx7/33rfve+97t1otaTQbxswwYDAziAlOCCZlKg5QmJC4UknKSRwgxJWkwCyGhCJViY2TMpvjMA5LWCqMZzwYxmxjzzCbtlZLve/99n2/9+SPJ3XrqV8vUreWbp1PlQr6vnvvu/foTt+fzvmd3yE82kZqXiP+12cI/co9KIrCUG8fNUPnpbkV2t2d6OYQwmFB6+mhE2j3hvjr6Qm6fX5GQhs9whaTiUeH72UitswPp07TF3DjsjgYDe5zb54kSTfkuoKaaDTK+973PlZWVvB6vZw8eZKnn36axx57DGj0oHz0ox8lmUzS39/P7/3e7/Gv//W/bjrHleGpK9797ncTi8X4j//xP7K6usp9993HU0891ZQ8/PnPfx5VVXnXu95FpVLh1KlT/NEf/dFe7vtQ6/WrOBwbPQyj3TAbnWZmIorLMYKmqfQM+pm7EGdoLEyhUGVhNk0uWeKe13aBzbt55WYhIDjcXKjvson4EsOBzm2vaTE9TjKzSL+3l/AeF6JsJbVWZODk/gybZJMxLHYbVpt7551vgMnhIT13Gk/3MVTtzlqppK9vgL7LCdIryzmW5ssoSplw2IHv2gVRr9Ory3Pkq5X1GWtXP16l4oucaP813B0havUyU7HnONH2OKqqEnL3r+/X669yeu4cPcEugp6N50gzqRw7HuHSc89SsXlw33c/esWKCHSh5Fbwe9KU3D2s/OUZ/CNePP09JFMp7u3p5xc/fIZK/wADJzfWMFNVlTcPjzERW+HZ6XHe2D/alBs4Gu5ENdz4rRoBx/UvQCpJ0s0hl0k4ZGq1NEIYWCybA4daKU8xNkvJ1EdiLU8g7KSju9EW9brB+Esr9B8N4XQ1emLUFhV1W/n53AUe7mudF1PVK1xY+ymdnkFCrgFS0QU0kxlPYOt8qOuVWG6sbRXo2HuPQr1WI7Y8TkffyX24sq0Zuk5u5QIWZwC7v+OmfU+tVkNRFEx7rMS8tpIjm68iBETCDnz+6wtwphcyXFid4NH77sdibj0z6OLaTwi6+gk6d17bay42T7FSYuzqNbai4yTw4XQFmZpO0dPtplZIEOzqaQTlq2cwIsdJno+j1bKUtCIOhx1LWxu5Wo3VeIx7RkY3TWwo1ir8fGaSwWCYwWAEIQQTazn6Ak7sls1BviRJ+0uu0t3C3RLU5PMTuFxbL6ZYLWQoJ5fx9Iy1/HxlMUspX0UAFqtGR693x1lNrYIa3dCZjD+PYVQZjTyCelUPz+rCBTy+dhxu367vaytG3WDuXIKBe/cnN2dx+mW6Bu67ZcNOmYWze1rVu5VarUY6nUZVVUwmUyNxtl5HCEEwGNzzbMS11TzZXCOPLhR04A9sH+AkM2VWYkXGBn2cvniBno4Ogt7WVZnnEy+jqma6/Tu3SbFc5KWFSTyBTkJGgXa3j0zJwOPxoGka01NJjHoZv0sn0NmNIgQkpyA0Qnoxw/LELF33tK+vxq7rOmcnL9IRjhAJbE44n4itsJhO0u7s5mi7B22XQb8kSXsjg5oW7pqgpjDNqtKJAqiXu/kNGjkvQ3YriqJQSq2BAnZfG0IIUqlU04wpn8+HpmmUClXWlnLUdYPhsa2Dhp9e+isiXgcCA1AQAhRFMBh4ELPJ1vKY+Oo0tUoRl68N9x7qpMycjtN3LNBUq+RGRZcmcftD2B2+PZ9rtyrZOIZhYPe1XirgepXLZfL5PKHQ5qE4IQRra2uEQqE999xcEV3Lk85cCXDsBIKbh2JePBflweMb93dxfhaLyUR/Z+sFUmO5GdKlZUYir2/5OcBapUZO1/GaNDKJRUjOoA68npph4C3maL+89EI6WWR+MUO7r4bZrKFmZjG8/SSSKTo6eykuVnB1u7H7N57T2eVFypUKRweaZzJV9Apz2TmO+Pdes0iSpN2TQU0Ld0NQU6xmmcjnuNffuamwnC4E4/kSo047FLLU6jl0k5dyuUwgEEC7XAdECEEymUTTtMYU+tQcS9NJpotlrA4TCFDRqTjaEZcrCLtNq9w7cM8NXXM2uUohF8dksRPuuL7psKm1AoYuCHa6bui7r5ZPJ6lW0gTa9rfa727kliZwd23du3Y9otEokS3WUoLG328sFtt2nxv/7gKZTKN4ot9nIxR2sriaR1WhM9L8d7Qcj5JMpzkx3DpAyFeSzMSf54jjNSjZAgBaMIjmcrFYrmJXVYKWjcAst/gqk1WFkY5BzqaLHHc7cF+etWQYBhcmEoRDDsJigbyjG8Mw1n8PZGYziLrAN+zb+P5igamFebrb2wl6/RRrRZbzywz7b07RREmStiaDmhbuhqDm5dgE94e3fjkKIZgolulMz6F4ugBwu1snw5ZKJSpLZ/H1HmNyssjwsWt6U5IzYPVQNNmJZVbpi7QOBuLVOrnLBdJUBXptlpZDO+VSnvjKpV0vRWAYBnNn9mfYSa/rrC6coWvgvj2f60bk16ZRNQv2YNeehr2y2eyu6jOl02mcTifmLXJb9kMsViCdLpNJlnnNL3e13CdXzHNxbo6TI6OYr+k50tNpqrEYU/UzdPc9jM/RTj0WI5fOkPX66Itc0xOVmILgEOOLE1hNFtKKm14NAoHA+nDb8lKG6KUXGXzgNZt+B1SyVbKzGfwjfkz2jWuZXlwgV87jDdvp9/bvvWEkSbpu1/P+vvWlfqWbIlOr4zdtH58qioLfZCJTLpFemdwyoAGwl1bQ3V3MzZeJtOoJCQxAMcFSbJru4Oa6Ndm6zsVCGU2BAYeVAYeVTquFqVKFpXJ10/42u4u2rqPElid3vlng0gtRenZZaG8nK/Nn6Oi7sZ6m/eBqG0Sz2MmtTJBZPHfD56nVarsqOOn1em/6WmjhsJNADe49sXWPkNvh4v7RMc5NXiSd27ieeiqFUSxiHxnhxNivkywusJwexxQOk+zqpqNaQb9mBe4rK82PdY/idXhZSi7hdDtJp9MkEgkSiQQ2u87YcDsL8yWy2ebaWlaPhfDJMNm5LLml3Pr2dk8bA75+GdBI0gEhg5pDIlnTiezihdZmNZNydew8a8MwyGet6JTxbDWVNzSCmltaH7q6IlfXSdbqHHHa8Js3/tVrVhWGHTacmsp8qXLt2TBb7ej1zetKtTJwf4iF80mSK4Vd7b+V+MoM/khPUyLz7WD1BPF0HkUz26mX93ZPO1EUBWO3ay7doORECke7A7Nz+94gVVW57+gx1pIJZhbnyMaiFJcWMXdulAgYDP0SqmpiMvocKgqW7i7qV5WFAMDdDul5AIKeAPf3jXJmeYaCUSQYDBIMBgnYwOoNcPxEG8lEkbm51KbrCRwNoJk14mfipKNFhCH2tf6RJEk3lwxqDolaLY3J5N3VvrlsCodnm16OWon5hRrekBO3d5s1bLYYKlmp1Oi3bx1g+S4HOiW9+cVaLKSxOnZXG8ZiMTFwMkS1VCexnN/VMdcq5FKg6Dhd+9Pjsx9cbYMU4ze2TpmiKOj6zutK5fN5XK695yFtx+KxULiQIvbjRaql7QPVQjpFyGSims8xNzmFFomQXF4itbK0nsDe7hmhzTPCxNqP0Y06pkikObCxukA1Q2YJaARLJ3qPYtbMvDx9Gj0Xg3K6EfwA/QN+fF47586uUa3Wm67HHrDhCdpwOEzbriUmSdKdRwY1h4SiZxEm3477lXQDSymBzde6NkqpWGXizDL+Li8+v23b6b+ZQhrLNb00FcPAvouFLXvtVlYqzS+7bGIFf6h5RkwxmyG1skRqdZnU6jLJ5SWMq17c7YNeamWd+fOJ6+p9MHSDdGyWUPudl/hZr+TIr0yTW5ogtzRBJZfc1XF+v59kcud9i8UidvvN7X1wdThxhmy4O5yUVookzidIT6U37ZeNRxvrcHX1MHr0BB0+H+OxGN62djzhNmJzM+v7um0hhsKPcGH1RxRMpc1DUJ4OsDghfol6fBJHeoZ2I89Jp4XxhXNEteZAzuuzMXYszMxMmrWVxpCTnq1ST1ewdLqwuOSilJJ00Mig5pCImMrMlTbnqlxroVxlxB/Y8uV36UyU0fsHcatFCoXCli+/TCHNSmqRnkB/0/aVSo0u6+4SUOvb5KgLIYgvzDXygK6szdTeib+jk/TaKoX0xtBB+6CXzmEvi+Mp5s8lKOV3bofV+XO07/dClfvE1/8g9lAX7q5R3F2jFGIzOx9Eo6fGbrdvmy+TTCZveqK8YRgYdWM96dk76MU77KUYLTLzcpR8qjFDqlpqrG7t8PrWj/U4HNx/dIxXLl4gXy4R7O5pLDh6WY/ditP/RmL5GaLluc1fbvdRDwxTDQxCcAiCQ2htRzlx7E2UqxXGFyeadldVldHREKgKFy/EQFMwy+EmSTqwZFBzSJg0Jz6Txlpl667+1UoNv1lDVVWEEC2HKoaPR7h4Loper5LP53G0KAGfyMaJplc46gmCq3n2kVVVKBu7m1Bn3mamT2JhjmBXD3Z38wtYURQCnV0Iw6B0VXKpyWKi93iQ3uNBMtESc2fjW+bbJNbm8QTa0Ew3b/bPXqiaimbeGPbwdI2RWTxPZvE8tdL2Q20ulwtN04jFYhSLxfXtuVyOWCyGw+HAZmtdO2g/GIZB6dU4xRdWsQw0hkMLqwUykxnaf7mdgfsjZOMlYgs58qkUnlBzIrHqdkMux4Njx1mJRVlJxrk69rVpKlZVwVrvx+T3MxX9m6bj64bgQqHEUIvhz95wDz3BLl6aPk2xx0Vr4AAAQipJREFUvNE26WKVtBAMjgTRdsgBkiTpziaDmkOgXs9hMjmJWM2oClwslClcDlim48/zyspf88zCz1GEQdjS+KUdCoWIx+NUq829Gg6Xhb6RAC9cqOIurzV9JoRg8uLLLM1OEKqppJbnKNebh5/aLWZWKjv3lFQMA+2qmMYwjPUcnUI6hSsQQtlm6MsVCFLMZlp+1j7ope9ECFVVmD0TZ212I/gpFXLoegmXd//rtNwsJqujsaJ29zHya5eaht9acTqdhMONYPPKzB+LxUI4HL6pAQ1A5UIK+4kgroc6UU0qxXyVarFG8NhGJePOET+aSWV1evPfnykQoB6LAXB0YAghYGZ5oak4ZIfVgpbNkveOUbb088Li06yWy0wVy8yWKxx32becGu+yu3hg8CSzsXkW40vMxAuUawaj7e4dK2dLknTnk3VqDoFWSyMsl6tUDMFs4kWOeO4hrJeYrU0gELiKKl0DjwCNmiX1en3TSyAQCDA7voxbRAn1dlDCwdSlJepGlgGfwBvqBF8vhXSKcj5HoKtn/RyTxTJ9NivmbcrIXyiUOOrc6OaPLV/CF+7FbLaSWlnC39G6tsnVMtFV3MEwqrb9zKV8ukxsLoev3UGheJHugd3VwrkTxSZ+AgjCo2+83ZeySWU2g+azYvI1B07JC0msASvOSPPaXCuTs6zNFek64sFkbgQUwhBQqeA0BNahRjHG+cmLxCoV7h87jqIoVC5dwtLbi2qzUTcEa5UyS/GfMRa+D7dtd4ua1us5lhMzRALHsZnl+k2SdCeTxfdaOMxBTbE4g8Mx0LRNCEFtbo7Z1IsMdLwexWrFyGYRukGKKmVUTBYz3d392547ES+SmJqjXFwjEAnR3ekmVTNRLhVQUFBUFV+4nVw0Rqi3f/27xwtlBuzWlknDlwpl2qxmPKar1oOaH6e9t7EeVWp1GX/79qt+A1SKBarlEu7A7l5kl145w8CJI5hMB3dGS255AgT7VoF4v9TiRYySjrWn9ey16KUohUIBT0/jvz3D0IlemuDIa17LwvkMkX4PrsvBkF6vEZ+ZxoOCajKTyWXwBEOcm7hIfyRC4OhRlBbLPEzHX8BmctHpa72u2RWl0jyKYsJm2/kZkyTp9rue9/f+LAAj3VaGaJ6SKoSgcuEC2kAPmqMLc+Tyitj+xiKCwdVVFE1Dd7uZmb4IQFt7Fw7H5lWugyEH5RUzLv9JOo80Vv6+eilCXa+TXF0kl42jz1Vp6zuCoigcc9mZK1WoC9EIfgBBY7mGXrsF63aLKu4yzq4UCjh8rRdGvFYyukJbX/hABzQAFlcAQ6/vvOMtVlsr4jjeOriMx+M4Ohy4q24KSwUCxwMkF+dpGzrCysICg/cNs3QxRSlfI9ztRjOZiQwfIbE4T6CzG3VhDks4woNd3YxPT1JOxumKbF7lfTD0S8RyM0ys/ZjRts09WfV6nnJ5Gbu9B02TycCSdBjJoOYQWMzMYSrEMakm2jwjTJ/5PpbOPoxMjJHwI5v2N7e3U5mZweLzMTDYWHvnB6efYtg1hNPlIhzZmO4thKCWrtP/hkDL79Y0E+GufoIdvZx77tuY3DEQBqrmoMdz/65WhC4Xc1isGwGVZrZQK5cx75D/Ua9VMe2i1H+5WKRazhGIHPyFCK2eMJnFc9j9rafk3y7KFsUc4/E4Xq93fUkGs8vM6gtL2Hts+NvaiNVrLC/M03Wkl8RynsWJJN2jARRFwWy3szI5QeeRsfWhzbHBYeZXl7kwO83R/s1Lc4TdA3hsEc4t/yUDoV/GYWkkKxeLsyiKGZfr4D8DkiRtTQY1B1yhVsDpGqXH00O1XmE1e5GIc5hwxy9ve5ylv5/q7CzWgcawlSPkob9zhFw2w+z0JQC6ewcw6jVM1p2TS2NLM7R13U8w0HjR1Os5UunnQBgIYeB2H8Nqbb1OUzq+SKR7YzjFEwoTm58lfHk4q5ViNoPFvnlmVutrm6Zn5M6cvn0jzHYv+egsrkj/7b6UdYqqoOeraFfVdqnX62ia1rTGlMliwt6nYSTNFE1Fwl3dLExPkVhawOZ0YXM6mfjbBUKdgAp2j3dTvldveyfpXJaXxs9x3+jYpsDZanZyvPOtXIr+DIfJis/qw27vQVUPdi+dJEk7k0HNAVfRK3isjTFGi8lKl2UQESzucFRjavTVs4vUyxPh3B4vbo8XwzBYnJ+hVq1SLWaB/m3PZ+g6NttGcTOTyU0w8Pr1n1Opv6FcXsbrvbfVxWx6Mfk7uojNzeDv6MJkaS6ClkvEMXQdb6Rtx/tcnpmgrffWr7x9MzmC3VRySTIL56hXcphsbjAEqslMIT6Lp2MMR7j3ll6TbcjH2k8XMV+VDJzJpwkEg83jlZcFjwXJzGZIT6fp6h8gnU5jslgoZhO0D1qJLQg6hnyU89GW3+dzezgxfISXJ8Y50teH29FcWC9TyaBZOnDZgzitu6u0LUnSwSeDmgMuW8k2L7Zn6NAiibIVUd/IzVCvmd2vqiq9/UMUKmnOpy6wPDOBZjIR7hpoOaRk6DqKsvVQk9//OsrlZeLxH+JyHW1K0nS6AuRSUdz+jWnWJrOZcN8AmehqYwrz5X+tC8PA6QtgbVE/51rp+CoOtweLdXc9OgeJ1R3A6g6sV1FWVZX82jShIw83gpzbwHMsRDFWJDjaGKoUCQOzMJM4nyB4bGMpClXV0Ot1vP1eivESyXNJjDYDqyOA9XJelzcM8+diGHqd4BYT4SxmMw+OHWd8ehKX00lPWwfFWpHVwipui5tB3+EKZiVJ2pkMag64Ur3U9LPqdlOdncXk3zmBVrlqKrRB6yUGirU07V3D+L0dmGxWVucaQ1P+SAd2Z6OHKLE6Dzo79pzYbJ3YbJ1ksmfI5s4TCr4JVTXh9kdYmTvbFNRc4W2RELob1UqZUj5NR//RGzr+RhhCMFeqcnWas8ekEbLcvP/Mrg4wRb122wKa2HgCBASGfU3bDa2E4Sgy82wUz5ALp9+PJxwhubxIsKsHR8iO2W1i9hezBNwBTPaNtnL6yggRYnEiRffo1s/z2OAwi2urvHpxnHCnVwYzknQXk0HNAec0N89YUhQFDAMhxJYFyACqi0uY2jaCkGt7aq4oVjOEIwNU00X0ep3OgUbuS2J1nlR0BYvVytrsDCMPvI5ETaeo67RbzVi2SRD2eu7BMMaIJ57FYe/F5TqComjU61VMpv1Zb2dtfpLu4eP7cq7diFfrJGt1hhxWtKvaPVmrM54vMeq0oW7z93E7VYsZEAKL03dDxycvpfD2uJvWSqpVytRzGWpmC+39PQR7DZLnkhT1PPlkHLPDQTGTxuH1kc1nGXpoiNSFFPaIA0fITiGdwmp34Aq4yafKzJ2N03ei9eyqXLKMU7jpGm5D2aY2kiRJh58Mag64uewcy/nlpm12h42+c6/iPX5vy8CmnkqhKKBeta7T1T01olYDVUXRNMr1AjaTC0fEQymfI7m81DhWMWG3uSiV8pS7BlkwFEJao9rrSqVR+C9gNhHcopdCVU1Ewo+Sz18kGvsB4a5fIbo4QUff3hN6V+YuEenu3zao20+ZWp2SYXDEuTmhOmA24TdpXCiUGXPd3GnEFk+Y7MIF3F2ju3q5V0sJSvEVTFY3iqZRSq+gKmbcnbtf5LMYK4JJbQpoDF0ns7ZKW/8g8XicWq2G2WwmdE+I9HQak+qgnI+jebyszk5jcrpRVZXgsSCpqSSJ2QX8QyFcgcaQlctvQ9VUZk7HGTi5EdiUCzWKmSqugBV34OZWSpYk6WCQxfcOsFgxhtVkxWNpvp9sNcul+AUqi4tgNqGEQwgVyBUgm6dqUVECPqyaFQMDFZVascBrlf7GkJTJ3Ji1VK8zE3+J0df8essAwRCCc/kSx132lr0Qq5fXoWrfYYFLw6izvPwkFmWUyB6LymWTUer1CoFIz57Ocz0uFcqMtAhorpar6xR0Y8e22Kt6rUQhOgtCYPNGsLo3924UE4vUShnMFj+OSHMBuszSON6u7YvXXVHJV8kt5ggdDTZtTywtEOjsXn9mrqw55XQ2ehUL0QL5lRy6t4TF5cak1xGiEVQriooJF9VUlcDR5jIC5XyV5Utp+k6EyMRLWB0mnF45o0mSDjtZfO8uka/lCTs2T5P2WDw82Pla6Hwtol6ntrwMdQM14sXUIjdBz+V4af6vsL5uaNNnim2FyoULWI8cacrBAZgsVrYMaKARzEwXK1QNY9vhKCGAag+Rwb0FNLValWw6TvfgsT2d53oIIZqGm7biNmnEqje/aJ7JbF8PSorxRTLps6CoNEofNkog2n1dOILdLY9vlEncmaHrpKbPg9fJ6lwSwzAId/djNltRVbUpCA6HwxQKBRKJRGODBgQVsufSjLylD820+dmoOqrEXo0RvGdjzSir04wraCO+lKOtX85okiRpMxnUHGDqFrONamtriFKpacaQKRRCc7dOIi0tLSD6W5eMVzQV69GjVKemsA43D0toCjvmiQzYLUyXKgw5tu7JWJk7Q2d/i6ne12l19iJdQ7cuoAEoGgbOXS6EWL/FnaKOUDfQCF4M3QCFbYshGoax66AmOztO5MTJpvMtTV/AGwyvP3dXczqd6z01V6iiTHI8gbvHje2a9aIsbguB40Hip+MERgOUSnVqFZ1QtxtV5s1IkrQFuSztAXbtyKEwDMoTE6hOJ5b+fix9fVj6+rAODGAUi1QXFjado7ayQrXNj9O0eYkEAIHRqGljtTZybS5L1+r4djF1fKe8ltX5ccIdR3ZVeXg7awvThDp79nye62VXVUpG65lj1zLdxkRhVVN31za7uMT88hSurqFN5+saPEq5mCcdXd7iyGYms5nwPWHKiTLZueymzzWTSnDET2YqjdVhItDhlAGNJEnbkkHNAVUzamhq83BQZXIS65EjaC7Xpv3NbW1oHg+1lZWm7aJapaDVN+XlrH8u9MbxXV2NYawr22n5D/LW59hieyq+iMPlx2pvHVDtVi6dwGTWsDtv/ZCEqii76oGpGAbaHf4+VlV1U6B8LcMw0CsVTDY7QghmihWmimVmihVmihUy3jYSisbyzMSO3ycuB4O+IR8mp5nYmdh63R1R06lFiyAEwRMhLDbZqSxJ0s5kUHNALeWW6HZt5EXUk0lM4fC2PSOa14tRKm/anqvlcFk2B0IAbmuEVHEFRVWbivX5TBqp2u5yRFpdUTqxjF6v4QncWB2aK3RdJx1fIdjet6fz7IXXpBGr1rbdZ7pYoc9+5ye1XknYbcUwDLJTZ3F1j1A3GkniXTYzQw4bAw4rAw5r4/93D7BoWJibOE2tVml5rtTqMp7QRl0iR8hOcCxI4myCwlwWPVvFHHE0LbsgSZK0ExnUHFCKojQFMEY2u6uCe6aAn3oq1bStVC1gN7WebtzlG2UtN0UtGsXUthGAKIqCLjYPgV1rtlSh29b8YkrFF9HrVULtAzte706Wp8fpGtzdbJ2bJWwxUzEES+Xqps9qhmA8XzoQAQ2A2eainFrbtN3QdbJTZ/AMHkMzm7lULHPcZW+ZAB70+zjicZKyB1ibn6KQa37e0qsrWB3OTctflAo1TBEH9m4XpqBcRVuSpOsn+3QPoIpewaTe2F+d5vNRmZpaD4DMPT2I51/G0vbglscYwsDI5zBHmiv+Djms61O6W/UQxao1LIqC9aoXXzK2AIYg2NZ/Q9d/tfjKHIG2TlS19QrRt1K3zUKurjNVLDcl26oKHHXablnNnL1yhHrJrVxCzVuxuHwAGHqd7PR5PIP3oGoqmVqdkMW07T35whGc8SSmssHazCSGIQi2dSGEwB0KY7ZsBHn1mk42VsbhteBv39tQpCRJdzcZ1BxAq4VVet03tmBhPZnEFNqoXaKoKsJhx0gkUMOtV9HuzAdYtqwxQPOUb01RGHPZuVSsoCnQZbVgVRVWqzXydQOfWaPzql6aYnwBkS5DLUCmlMG7h2m5hVwKIQROT2DnnW8Rt0nDbbr9AdZeuTtGyCycXQ9qsjPn8Azds54YnKjpDDp27nkaDvqZKTkZ7O6lXMoTW5zdtFp6JtZY5iPQKYMZSZL2Tg4/HUCtlkDQfD7q8fiOx+rpNJq3OZgQIT8oCpXpafTsxiyUeixGZXISd3s/OVNxPYmz6XsVhSNOG4N2K8lanblyFY9JY8RpI2zZKDSXX5lCUTWCIyMEjwWxh+wkzidInE9Qv876LYZhkFxdItzZf13HSbtnsrkpp6PMz08zoy02fbbbPiflqiRqm91Fe98wcxOnMQyDcqFGcrmA02vBG5ZDTZIk7Q8Z1BwwW63ppPl86Ol0UzLvterJJGqLmVEAplAI6+AgolajOjdHdW4OxW7HOjyM5nIxGn6IS/G/2fLciqLQabPQb7fivKZIX2bhLGanF3tgoxaOxWUheCyI/6if3FyexPkEhdXCTrcPwPLMBToHb91ClXeTml5lMv4Si2KJC/GfIdQ0Y9pxTv/iCdLJjZIAxi5mfBV1A9dVNXzMFhtdg2MsXHoVvWYQ6HRishz8ni1Jku4ccvjpgFnILdDpbF0ozzI0RHVyEi0U2pQ0XF1YQNE0zJ2tj73CFAxCMLhpu9XspK5vP8PnWoauk557BU/nUUy21sMLqqriH/EBUIwWSZxPoGgKvhFfy7oqibUFfKEImiYf3f2UKCyymp3Golno89+DWZip5hZQDDPmzk7u7flNLp5/itzCJbp67mMawfA2BRUBlsrVpuUjarU0lUqU3iMnURQZzEiStP/km+EASZfTmFUzZq31+kGKomAdGaGeTFKdnW2qKGzu6EC17W3RP5vZRaGSxmn17bhvrZSjsDaJr//+XRfEc0QcOCIO9KpO6kJjxoyzy4Xt8vo+pUIWvVbF1Xbr1nW6G1xY+xkOs4fjHW8EwKhWqc7NYR0Zadpv9PjjLGcuMrf8PDb3SVLmCH5z618hsWoNz1X5RcXiDJrmwOU6cvNuRJKku54Mag4Qq8nKajpKm6Nt20DBFAhAYPcJtFVj81TkVoZCD3J25Uec6HjztvuV0lFqhSS+/vt3fQ1X0ywawWNBCoUCa1Or1Et1NIeJiogyevKXbuic0mbVUpa/nXyKB46cwmndyLOqzc9vCmiu6PQeIWPxMvvKMwjvO0nW6gzYrevLZdQNwUypgsek0WY1o+tFSqUFHI4BVFXWnJEk6eaSq3QfMMtzCdK1FIqmXF6e8PIyhVv8NRpCbFqf6coxV5T1MmbT9qtHX5mmLESRkPmqHp/Lxdo8/k4cbh+F2AIKAkf4xmZnQaOgXjwex+1243A4ACimsmTXpilVqnicDlxtnVjdd87Mp4MmH51B6HWsoV4uzYzT2zFItVoDXcdRLGLv79/2+Hq9yrkXv07/vW8jaWysKaYo0GezoCgKlUoUXS/icGx/LkmSpO1cz/tbBjUHTLXcWNjP6b2zirml4otUilnqa1Xajh3D7Lyxf5ULIVhbW6OtrW3LOihra2s4RBlRKWMLRLC4dy46eDeaXJmhpjf3wtXrAn+1RKSjH4vbT7FYpFAosBido6e9F1e+RMHhwAB8Ph9m89bBbmV6mlnXKl5bmHbPRs+OYdQplmawmINYLDLwlCRpb2RQ08JhCWqEIUhHi3d0kbLUbJZ6qZFU7B/yYrLsfpQzmUzi9XrRtK0TSYUQxONxwuEwpcQytXwOzWzH0dFzYIrc3UylaolLy9OEPQE6Ah3r26MrORLpMqOjQVRVJZ/Po+s63stT/JdW56kvLdN772tQTCZisRherxeLpXWAWpmZwTowwGr2EvHCEv2Be9GMPELUsdv75d+FJEn74nre3zKn5oBRDsAqxf7+xkNnGAbpqQyG3ljp2z/kQzVtnzRsGMa2AQ00EqKv5BTZg53Yg1Ar58jNXwTA1TmIuk0Pw2F1cXmSul7HpJk40Tu2Ke/K47exEi1QqxpYrAqlUonwVQUXu9p7SVkcTPzNsxx95FHC4TDRaJTINZWkAYSuo1w+f7tnhJBrgOcXf8BrOx/BZGpdNkCSJOlmk0HNAXQQAhtoTNcOjDSGhvS6QXIqjTAEJouGd8DTMtl5t/+6v7YQoNnmxtw3imHoFFamEXXjrhqa+sn484TcIY71bF2/x2Yzc++97Zwfj2G31ujta9u0jz8Qwuzv4NzEywz3j2G1WqlWq5t6a6qzs1gGBwFIlVOkyike6jkle2ckSbqtZPG9g+gADhhqJpXQaIDwWBB3l4vkxRTxCwky89mdD25hq9lfqqrh7hrB0zeKXi2RnZugGFvay6Xf0YQQXFiaIuB0M9wW2vkA4NhYmFyhxtJyvuXnztFRhoSd2cUpdKNKJpNp+ry2tITm96MoCgvZBXShM+gblAGNJEm3neypOYAOehqUyWYidLRR4K+SrRK/kAAUag4Ns2N397abNrgyNFXJJ8nOjmMLd2Jx3vh6U3ea6dVZCpUiIx392CyO6zq2q9MFwsSFCzGOHm1e80sxmbCOjNA/O8vqxQlyikLQ5aIeiyHq9cbaYS4nF1MX6XZ14zBf33dLkiTdLDKoOWBqFR2z9fBUY7V6LFg9QVaiBXLZCvWCzuz8NF3tYTo63S2PyWQyOJ27T5S2ugJYXQFy8xcPTVDz0vRphtv7GbzB6dKqquJ2W3G6LJw+vcbRo0EsVyV0K5qGdWgIbzCILb7G3MRp+u95DYqmkS6nSWRnGfGNyN4ZSZLuKDKoOWDyqfIdPfPpRsUSRU6ONXoMCoUCsViGCxfKqIrC0FAA7XKCcTqdRlVV7PYbWATxkLyAZ9ZmGW7vx+O48Vl8Pp+PWCxGJBLhxIkwFyYSdLa78Pmb27VardI2PMrK2iLJTJKcVsBpdjLkG9rizJIkSbePDGoOkIM+7LQVIQRX35rT6cRisZDJZDAMwUuvzoIQ2G0aIyMdWK03WqPn4LefrutkS3kG2vr3dB5FUXC5XCSTSQKBAMfGwszNpsgXqnR3exFCEI1GCV5eB6w92Mnk7AR9A0NYNFkZWJKkO5MMag6QbLyMJ3wDPRR3uIvTaYb6fU3bzGYzoVAj8TUSafTg5LIV5mZzQA6vz0Zb2+6nDht6/VD01JxfnOBEz9i+nMvhcKCqKrFYDFVVae9wEY3m+NsXJhns9xIKhdA0Db1QwyjUGBnen++VJEm6WWRQc4AYuoGmHb4Ja5VqHZdj57oybo8Vt6fRS5NOlbhwIYbTaaGnZ+c8mdLaMva27j1f6/UwDIOF+DzFagVoLDUhEAgh6Ax04LuB/B5NVXes43M9bDYbNpsNwzAoFosEgw7CQS+XppL4vAKRKaOYFMwRmQwsSdKdTwY1B0QpX8XuOnzd/uVKHfMNvKR9fjs+v51spsz4eIz2dhd+/9a9WIZRQTPtbZXybQlBNX6RxdgCuhAoQlBzddDTNkiffXMO1EJ8geXkCgDdwW48jta9TqupNdKFDIYw0A2DnlDnTbl8VVVxuTau4fjxMC+eXuPBsTCqVf6akCTpYJC/rQ6ISqGOr+3w/Wv54nSKE6PBGz7e47Xh8dpYXsqyuppnaDiAxbw5SForOFhcunR5EdBrc2vMtPs78Duvb2gvV0yxkFhDK6XQyimEf5j+I2/GbNJACEjPQXEV7JuTantCPev/fy46x2JiEQC/00u6mF3Pn4p4wxzpHN52Vfb9Vq7pzMQLPHiyHfWAFHqUJEkCGdQcCHrdQNX29+VSq1bIxWONKbmKApeTdf3tHevl72+V/Xhhd3Z5aG83mJpKolk0BvubKwnrWBnr7mp5rK5XWEsvs5qqricsN5pEACpOmw0FlUKl0JSs7bR5GAtGUGou8D7UfFJFAX8/VAuQmILg1rOF+iJ9QGO4anxxgrHu0VsaxFwtmitTrOiMdRzc9dEkSbp7yaDmAMglyngj+5cgnE8lqVerBDqbc0yEYZBcXsTpD2Bz3vz1e6KJIgHv/g0JqZrKyJEQpUKV8fEYXo+Vzi4PyUQRxzY5O5pmpTM4QKuBHcPQKVTKqIpBd7Bzc7ARuwjhI1tflMUJJhtUcmBtXXdn/fpVleO9ty8ZdzqWx2s30x86fCUDJEm6Oxy+rNNDar+KnJULeYRh4Gtr3/wdqkqwu5dCKolh6PvyfdtZixbo3qLA3l7YnRbGxsI4nGbGx2Mkk6VdJRO3oqoabrsTp829OaCpFhtBy068XZCP3tD33wpCCC6sZun02Qm6bnS6vCRJ0u13XUHNF77wBU6ePInH48Hj8fDQQw/xF3/xF+ufr66u8t73vpf29nacTicPPPAA3/rWt7Y9Zy6X41/9q39FX18fdrudhx9+mBdeeKFpn/e///0oitL0521ve9v1XPqBlUuWcfr370VTzKRxB7dfIyjQ1UN6dWXfvvN28fnsjI2FGR658ZydbeVWwLPLxF2jfnOuYY/KNZ0LqzlGIm5sLXKRJEmSDpLrGn7q7u7mD/7gDxgZGUEIwVe/+lXe8Y538PLLL3P8+HHe9773kU6n+d73vkcoFOJrX/sav/Ebv8EvfvEL7r///pbn/OAHP8jZs2f5X//rf9HZ2cmf/dmf8eijj3L+/Hm6ujZyIN72trfx5S9/ef3nGy/AdrDUqzpmy/4N0eymx0dRlJueV1Mu17Ec9Fk1FldjWMm2i/wTtXGvet2gZhjYLLf/3tPFKslCVebPSJJ0aChij2VqA4EA//k//2f+8T/+x7hcLr7whS/w3ve+d/3zYDDIZz7zGT74wQ9uOrZUKuF2u/nud7/L29/+9vXtDz74II8//jif+MQngEZPTTqd5jvf+c4NX2c2m8Xr9ZLJZPB4DsYv8XyqgsWmYbHv3wswtbqMv33n3oXE4gLB7p4d97tRFy4lGer3Yj7ovQPxSxAaASBfqDK9mG1KNgZQawVMeo66owMFBVWFas0AwG4zceSawoO3wkqmBECH9/AVc5Qk6XC5nvf3Db8tdV3nG9/4BoVCgYceasz8ePjhh/k//+f/8Pa3vx2fz8fXv/51yuUyb3rTm1qeo16vo+s6NltzT4TdbuenP/1p07Znn32WSCSC3+/nV3/1V/nEJz6xXsK9lUqlQqVSWf85m83e4J3ePrVKHdc+Dj0BsEMMm8lVmF/KkYumOelvw+W8ObVxdEMcyICmWq0zu5ynVG4MJ1nyOWqrCwiTHYfNxPGr1qlatxaFthMtz5fNV3npfBSbS+dYb8fNvnyEEExG84TdVnyOw1f3SJKku9t1BzVnzpzhoYceolwu43K5+Pa3v82xY8cA+PrXv8673/1ugsEgJpMJh8PBt7/9bYaHh1uey+1289BDD/H7v//7jI2N0dbWxhNPPMFzzz3XdMzb3vY2fv3Xf52BgQGmpqb49//+3/P444/z3HPPbVld9dOf/jQf+9jHrvf27hilfBWba+cqu9fr2o65et3g0kyaum6goOB0mDg27CPnqzE501i+wL1F0b9CtIAzcoMzZfa4DNOPfzJLJOxkZDi4OYjYo0KxysxSDsPYfJEmTaW/y43DfuXvJgSxCXC5we5r3tnQIXYB/ANNmxOZNGvxOAKBqijYbVDQDX42m+P1/dvMpNqjK/VnjrS50WT9GUmSDqHrHn6qVqvMz8+TyWT45je/yZ/8yZ/w13/91xw7dox/+S//Jc8//zyf+tSnCIVCfOc73+Hzn/88P/nJT7jnnntanm9qaooPfOAD/PjHP0bTNB544AGOHDnCiy++yPj4eMtjpqenGRoa4gc/+AFvectbWu7Tqqemp6fnwAw/pVYLN2U17lq1wsT5WbCF1l+qI4O+poJ1sbkZQr39KIrCC6+s8uDJyKaZP5nZDKqmUivUAFBMCp4B766XcTh3IcHxozeewFsu13jp5VUcdjPHj4UxW5qD27m5FOiCvsHAluc4f36eVDqPoqiXi/IZWOxOvD4vg92e6wuWsiuNmjRX5SxV61Vmy1bqdWN9sxDgcbnoirRtym+KF3JMxtd4XV/rfwTsRTRbplTT6QvK6dqSJB0s1zP8tOecmkcffZShoSE+/OEPMzw8zNmzZzl+/HjT58PDw/zxH//xtucpFApks1k6Ojp497vfTT6f5/vf//6W+4fDYT7xiU/w27/927u6zoOUU1Ov6RQzVTyh/c93+MnzS4z22lBrefwdnWimjd6gSrFINh7F39GFydzYXq3WmZhKgaJgMWuMDHhRVZXE+QTBYxtBiV7Tyc5kMOoCR9iOPbx99eOzFxKcuIGgZnYmRbFUw+60YBbQ2evh9JkoR4YD2OwmpqdT6HVBb48HQ4G5mTS6AjanhbouqNV0BILs2iptXRGODLU1nb+QTlEtl3aVd3SFEILltSiZYm69J0xVFDRNo6+jC6tl98M8F6LLmDWNoWDbzjvv0kKyiN2iEZLTtSVJOoBuSU7NFYZhUKlUKBaLwObqsJqmYRjGjudxOp04nU5SqRRPP/00n/3sZ7fcd3FxkUQiQUfHzc9BuB1yifJN6aUBCHhtRNqDCBEgG1vD0PX1isJmm51wb3/T/haLiXvGGqtkF0s1zl9MUcmWGe5qfrA0s4b/SKNXJLecJ342jnfAi9m5eQgtmSrh8d5YPke+UOXEiTaSiSI+vw1VVbnv3nbm5zNUK3V6+7xYrppZdOx4hOXnlnGGXNh9ViwWjcTiPIFHjrec4eX0+TGXrGSiq3gjm2v5CCFYXFslVyggEOu9LW3hIF3te+9hORrp5MfTE0RcHtzWvQe184kibpsJ/03KjZIkSbqTXFdQ89GPfpTHH3+c3t5ecrkcX/va13j22Wd5+umnOXr0KMPDw/z2b/82/+W//BeCwSDf+c53eOaZZ/h//+//rZ/jLW95C+985zv5F//iXwDw9NNPI4RgdHSUyclJPvShD3H06FF+67d+C4B8Ps/HPvYx3vWud9He3s7U1NR6r9CpU6f2sSnuDHvsONvRlREPRVFavrS347CbOXE0yKXzMbxdWxfNc3e6cHU4SUwmKedKRMYiWOwbL9WZhRwPnoyQiBfI5Wv0bzP7p1wuUygUGsfNZujpbix/EAg29wT19m4U1zPqBrVijfxiHkVV8A37cFzuOSoX8thc7m2nrFvsDvKpJEII8qUC8yvNNXs6IxF62m9eQP3GwVH+8uJZ3nqkdXLxbk3H8gRdVrz2/c/NkiRJuhNdV1ATjUZ53/vex8rKCl6vl5MnT/L000/z2GOPAfDkk0/y7/7dv+Pv/t2/Sz6fZ3h4mK9+9av8nb/zd9bPMTU1RTweX/85k8nw0Y9+lMXFRQKBAO9617v45Cc/ifny8IemaZw+fZqvfvWrpNNpOjs7eetb38rv//7vH8paNdl4CU/4DphmKwQkp6/ZZrCccdPR7W99zGWZTIZarYYW0gh0Bli5sEKtVsPmspM12RjoafTyJJJlujtdvPjSCp3tTjo6N3p/DMMgHo9jt9vXZ7kl4gKn08za2hqhUGhTkng1XyU9mcbkNKOZVQJjgU15K6VsBn/HVmtA6UwtLTRm5VVrTK+8QKC9g7GBoVu+FtPreof46cwEjwyM3tDxk9EcnT47jjugHo4kSdKtsuecmoPioOTU3KwE4SvOX0xw7MgOuSzVAqTmIHQEtOaX4uzzp+k/Gtqykm4ikcDhcGC3bw7M0qtpzlxY5g1vasyWu3gxwZEjQWpVneXlLJlsle4uN/6AndXVVdrb25uCkvHxGGNjYYQQmz7X6waJswki94W3vbWr6/SsJeLE0ykAFBqVqge6urFdDpav1Oqpra1hFItN1yIMgaWvF2WL2Xf7YTK+hi50RsO7z+8BmFjN0Rd0yArBkiQdCrc0p0baP4YhUG7yVNsdQ1ghGgFN27GWH1s7+5mZWibcqeBqax6CyeVy2O32lgENgK/dx5gqOP3iLG3dQVyXF5k0WzT6Lq+qPTefJp5MMjiwEbDUazoXLybovDzkpSgKkUiEZDK50YtzNkHo5PbBWrVWY3JuFsfl4aywP8DxoZHW+5ZLWB0OKlNTmNraMLc1J+4KIahOTmLu7ER13pwgdDjUxs9np0g5c/gdu1sj68JqlsGQC8s+T3OXJEk6CGRQIzVLTjd6aLbQ0e2Bbg9rZ15hLWWmrdONy9Po2ahUKoRC268rFYr4QdXJrpbo0DSMSh31quUS+np9nD2b5sWXVjl2NEy1UmctWuDI0RCmq6aLXz30lDifIDDq33KIaHxmCl3X0TSN4yfuQS9Xdlz/KpeI49YFpq4uVNvmZSoURcE6MkL54kVsR/ZWW8YQBslykmKtiLhcwKdcL9Pv7efh/iH+8uJZHhs5vuMSF5PRHP1BpwxoJEm6a8mg5g6iqgqiRcG3K8anJzHExowbp91OT1vH/ud7aDs/Fm2dbtqCIZbmM6wt52jrcu96JXFFURg8EcEwDKrTGURdYB32oV5+GXd0uAkEAizMZ7DaTRw7Hml5HsNoJATrVQPTNktJVKs17h09uv5zMpOlXq1i2mKqdSmfw2KzI7K5lgHN1Sy9vdSWlzF3bj1ElC6nyVQzFGoFFBQ0VaNQKxCwBTifOM+J0An8Vj8he3OgdTF1kWHfMI/0j/LXMxd40+DYlt8xlyjQ7rXLISdJku5qMqi5g+SSZdzBrV+i+WKJXzqxUcQwk89x5tIE945u/bK7aYw6CEHX5VlHywsZ1lZTWC0uXO7tE7ivTPFXVRXbsL9RFuBSGgDriA9oBD69fb5tz6OqKrVSHXt4+8Cjp72D6aUFBrsaa1kFOrtILC1gc7pw+pqTnjPRVRRFxaGZULZZhmP9Gmw26rXapu2pcopMJUOinKDL1UVFrxCwBYgVY0QcEQK2ACF7iD5P35bnHvYNM5me5Ij/CAP+CGdW57mnvXfTfkvpEh6bGddBXyBUkiRpj+RvwTtIrazjDtio1KrMLC6gX6nvk0ojKlW63G5qKyuYL9fn8brcWMy3abquamqqntvZ48Vir5FJllhbytHe7ca5RbG3a3uWVFXFPhrAqBsUfr6MOLq7VcmFEBRXi4RObB98BLxeFtdWMAxj/buDXT2U83mSy0uNPCYhEALcoRBmi5XqwsK2vS9N11Gvr1/PfG4eQxj4rX76vf24LC6smpV2Z2P6/JX/3Q1VUenz9DGTmWHAP8ArywUWM0m6vRtVkqPZMmZNkXVoJEmSkEHNHSGTKPLK+XGCbR5WpsBsMjHY04uazaGnUpiOHkNzNZJRjXKZytQUmseDKbz9TJ9WyuV608t9E80MtRKYd5hWbuibNpnNZtztNqxWK4tzaVYXs3T0eHFc9cItl8uYTJsfu+pyHj1fxdztxuyykk6n8fl8W359NpvFZrNTrBe2v87Ljg4McX56khPDG/kvNpcLm8vVcn9zWxv11VXMXa2nfzdRVWYzswgEve5eNHVjCOjaIaXrZdWshOwhlvPL3NfZy48mxwk4nDjMVlKFKjVD0OW7A0oASJIk3QFkUHMH8AYddN/jY8g3tL6tnkwiqlWsQ0NN+6o2G9ahIeqxGLW16HV/19CAj/MXG9OYUUABRgauqsLr64W1cxA51tQT0yQ1B+7NPQ5er5doNIrf76f78tDR4myKXLZCW4ebWq1GNpslEtnIkdELVaqzWcztTiydGz0Q1WqVTCaD1+sllShis5uwX15VOpPJNPZZqBAY3Xptp6tZzGZMJhOFcgmnbecgQLFYMMrlbfcRQjB76RfgctLrHm0KZvaT2+KmoleIl+K8eXiMpyZO87bRk1R1A5tMCpYkSVong5o7hEk1UTfqmNTGX4meSm0KaJr2D4dJXxjHcp3TiX0eKz7PxrBQrW4wNZumXheNCAfoDPUSiJ4HbzfYNir1YugQvwTOENha1wqIRCIkEgmEEHi9Xrp6fUxdjKGZK+tTsa8oXUgiagaOezb3Zng8HsrlMpcuLZLPV6nrAp/Pht9nxel0UotWsYXt2yYIXy2aTKDrOquxGEM9m/NSWjGFw1QXF7F0dzdtF0Iwl53DKBbpMAWxdw7u6nx7caW3JlvN8ob+UX40Oc6bh8eYSxSwmjWZTyNJkoQMau4YQVuQqfQUfZ4+TKkcpradcy9yHjeebH5P32s2qRwdbu7tmF/KsZxvR1tegfoMboeJ7vbLvRuhI7DDbKtgMIgQgmw2SzFVpK4JgsGOTbOjdFHGdc/WeSvFgoGmOrj/uB+yK6ysxqmtAVYTVEw4+ravtrsSi5LIpBvX5PNtWZNmK5rHA4ZBZWqqkV9jszKfbeTMdKQVNM2NZbDnus65F52uTmYyM3Q4OxgORXh5aY77u/q4uJZjIOTEvMsV0iVJkg4rGdTcIVwWF6OBUeayc3QUwbKLfJl8pULoJlS07V1f16mRgJvKVji7cjl4iqfQVIXhAR/mbYY+FEXB6/WSS+gMDvhaTvcuiVm0lILdv3kdpWSiSCZdZjBYgEIOQsN0hCAeKzB+MckDD3obw2Tho3DVsM9idIVMrnGt4UCgKYfmRmg+H4rXw+ylFxGVCl2uLlRFxdzVhXIbkrQHvANMJCcY8Y+QKhWYSUYZiYQZX8kx1rH7afWSJEmHkQxq7jC60MlVCuw8mRgQAu0WvFj9Hiv+q4asqjWdSzOp9Vxhs1lhdKh1bktdFy2LwRUTi/h6T1BKL2Fx+tAsdqq5NMXkLPmag6oSYjBSBdXeGO66LBR2UqoL5pOC3o5jEB1nzvCSKxRQFIW2UIjuyP4sNmkIg7nsHAD9Iw+iKndGT8gR/xEuJC/gczp5dXkKxXBiNausZMp0yqRhSZLuYjKoucMMegeZr1zCsjCDu2dg231FNo/at3Wdk5vFYtY4NrIRdp2dSGy981U9B5lanXitjoJCtVRHpYo5MIi+NI7d10GtksHTc5LnXv0Zj99/BGIXIby5p6Wnw8UL55dYSc/iUWp0Biz07bFH5mqZSoZUOYWiKPR5+u6YYOYKRVEYCzZqE/V6dpcfJEmSdDe4s35bSwD0RkZYWptkp7VGRTqDyb/9itm3gtttJp1pPVOoUl0it3CRS9MT5CpFhhw2Bh1WRrv66Cgk6bFZWPT0kqvkcbcfQVVV3nT8NZybeomJ+Cq6vnnqOMAvHesiY1IYG3sAr2nvQy66oTOXnWM2M4sudPq9/XdkQCNJkiRtTfbU3KG6jv0Sl154huH734x6zRCTEILKxYt4hvpZS8Rp22Edo5utp93F+KUUPm+LonkehWJ4AJ8hcKRWyKVWr/pQwaQq3BMMMJ63cyWLyG6xczwQRHceY2L5EpqqMdq1Ocn3tT0D/Gz2Iq933thC80IIlvJL6EJHQaHH3SODGEmSpANMBjV3KLfDh/XBNzF19uf0enpRrsw4EgJhCKwjI/SoKq9OjN/WoCa2NIvZYgUsTK1MUNNrKIqCzxmkVq/QEeghqusMO2xg3xgqu7YXatBhZa5Uoc9+OXfHGUYrJzEMQV+49Qwpn91JwO5kPrtI7y7rEAohWC4sr19np6sTs3qbqjJLkiRJ+0oGNXcwi2YhNHqSlUoGs2aiy7W5uu2RvgHGpycZGxy+pdcmhM7Fl5+ne+Qoeq1GrTqH1xJmKNiY4hzPxkiXc3QEezGXq5uOv3aWjlVV0a+OcywOyCxytHuEc/Pj3DtwD62MeRz8NFojVK3gsGy95tRKfoWKXgEaU6MtmlxWQJIk6bCRQc0dzm/z47f5yVQyTKYm6XZ3YzNtDPPYbTY0k4lMPofX5d7mTFAt1ylmNwcYCNYL7+1mu6JAMnaBgeOvwWJt9HLcF2heSTvkCRPyhMnVdRy7rJ9SvzaHyObFVE7TEWhnLjZPX/iapFghILvCw8cf5qmLZ3nbkROoqkqxViRWiqELHU1pTPduc7Q1tZskSZJ0+Mig5oDwWr14rV5WC6tUi1XqRh1VUVEUBatPYW05hfC1qFlzVZxgtml4w/Y91zKp13VUm5dafQEDBzbr1oUCXZpKrFonvIuOEdO11+Vug8wiEUPnYq1GppDB67xc4bicgcwihMdQVZUHOgf5i4mzHO/0YDfZt139WpIkSTqcZFBzwGy5ynPrVQtuCpNJw+1uLOFQrxcoFKYwmb1YLZtzexRFQd9hFhc0pnu7WvXoeLuhWuSIvszkzN8SVZ3YLB6E2Ynh7KcczWNSVfwOM28fO7nne5MkSZIOLhnUSHtiMjkxmYaoVKJUKjGs1s0Zu0FTnUupKbqsV3qSBKpmX+/hMYRguVJjzNUoHCeEoFqNoetFQGAYNVSHmc7BEWy2LlRV5sNIkiRJm8mgRtoXVmuEXG6cej2LojQPgzk0G7qjl8W6zpDDiqYolErzFIszJGoGiZpgxK5SLKroeglNs2GxhLFaI1t8myRJkiRtJoMaad+43WNbfmYDQhYTc+UqhgCFNgTgc2j0mOVjKEmSJO2dfJtIt4yiKPTbt552LUmSJEl7IcunSpIkSZJ0KMigRpIkSZKkQ0EGNZIkSZIkHQoyqJEkSZIk6VCQQY0kSZIkSYeCDGokSZIkSToUZFAjSZIkSdKhIIMaSZIkSZIOBRnUSJIkSZJ0KMigRpIkSZKkQ0EGNZIkSZIkHQoyqJEkSZIk6VCQQY0kSZIkSYeCDGokSZIkSToUTLf7Am4VIQQA2Wz2Nl+JJEmSJEm7deW9feU9vp27JqjJ5XIA9PT03OYrkSRJkiTpeuVyObxe77b7KGI3oc8hYBgGy8vLCCHo7e1lYWEBj8dzuy/rtslms/T09Mh2kO0AyHa4QraDbIMrZDs03AntIIQgl8vR2dmJqm6fNXPX9NSoqkp3d/d6N5bH47mrH9QrZDs0yHZokO3QINtBtsEVsh0abnc77NRDc4VMFJYkSZIk6VCQQY0kSZIkSYfCXRfUWK1W/tN/+k9YrdbbfSm3lWyHBtkODbIdGmQ7yDa4QrZDw0Frh7smUViSJEmSpMPtruupkSRJkiTpcJJBjSRJkiRJh4IMaiRJkiRJOhRkUCNJkiRJ0qFwoIOaZ599FkVRWv554YUXAJidnW35+d/8zd9se+75+Xne/va343A4iEQifOhDH6Jer2/6/gceeACr1crw8DBf+cpXbtatbms37XC1yclJ3G43Pp9vx3P/1V/9FQ8//DBut5v29nY+8pGPNLXDjbbvzXA72wHg9OnTvOENb8Bms9HT08NnP/vZ/bq163Iz2+GFF17gLW95Cz6fD7/fz6lTp3j11VfXP79bnoed2gHujOfhZrXBV77ylS3PG41Gt/3u1dXVm3Gr27qd7XDl+w/7uwIa7XHy5ElsNhuRSIR//s//+fpnt+x3gzjAKpWKWFlZafrzwQ9+UAwMDAjDMIQQQszMzAhA/OAHP2jar1qtbnneer0uTpw4IR599FHx8ssviyeffFKEQiHx0Y9+dH2f6elp4XA4xL/5N/9GnD9/Xvy3//bfhKZp4qmnnrrp932t3bTDFdVqVbzmNa8Rjz/+uPB6vdue95VXXhEWi0V87GMfE5cuXRLPPvusOHr0qPjd3/3d9X1upH1vltvZDplMRrS1tYl/9I/+kTh79qx44oknhN1uF//jf/yPm3Gr27pZ7ZDL5UQgEBDvf//7xYULF8TZs2fFu971LtHW1rb+9303PA+7aYc75Xm4WW1QLBY3nffUqVPiV37lV9b3+dGPfiQAMTEx0bSfrus34U63dzvb4W54VwghxOc+9znR2dkp/vf//t9icnJSvPrqq+K73/3u+ue36nfDgQ5qrlWtVkU4HBYf//jH17ddaciXX3551+d58sknhaqqYnV1dX3bF77wBeHxeESlUhFCCPHhD39YHD9+vOm4d7/73eLUqVN7u4l90Kodrvjwhz8s3vOe94gvf/nLOz6oH/3oR8VrXvOapm3f+973hM1mE9lsVghxY+17q9zKdvijP/oj4ff7158PIYT4yEc+IkZHR/d+I3u0X+3wwgsvCEDMz8+vbzt9+rQAxKVLl4QQd8fzsJt2uFOfh/1qg2tFo1FhNpvFn/7pn65vuxLUpFKpPV71/ruV7XA3vCuSyaSw2+3iBz/4wZb73KrfDQd6+Ola3/ve90gkEvzWb/3Wps/+3t/7e0QiER555BG+973vbXue5557jnvuuYe2trb1badOnSKbzXLu3Ln1fR599NGm406dOsVzzz23D3eyN1u1ww9/+EO+8Y1v8Id/+Ie7Ok+lUsFmszVts9vtlMtlXnzxxabt19O+t8qtbIfnnnuON77xjVgslvV9Tp06xcTEBKlUao93sjf71Q6jo6MEg0G++MUvUq1WKZVKfPGLX2RsbIz+/v6mfQ/z87CbdrhTn4f9aoNr/emf/ikOh4N/8A/+wabP7rvvPjo6Onjsscf42c9+dkPn32+3sh3uhnfFM888g2EYLC0tMTY2Rnd3N7/xG7/BwsLCpn1v9u+GQxXUfPGLX+TUqVN0d3evb3O5XHzuc5/jG9/4Bt///vd55JFH+Pt//+9v25irq6tNAQ2w/vOV8eCt9slms5RKpf26pRvSqh0SiQTvf//7+cpXvrLrRclOnTrFz3/+c5544gl0XWdpaYmPf/zjAKysrAA31r63yq1sh908M7fLfrWD2+3m2Wef5c/+7M+w2+24XC6eeuop/uIv/gKTqbE27t3wPOymHe7U52G/2qDVeX/zN38Tu92+vq2jo4M//uM/5lvf+hbf+ta36Onp4U1vehMvvfTSnu9jr25lO9wN74rp6WkMw+BTn/oU//W//le++c1vkkwmeeyxx6hWq8At/N1wU/uBbtBHPvIRAWz7Z3x8vOmYhYUFoaqq+OY3v7nj+d/73veKRx55ZMvP/8k/+SfirW99a9O2QqEgAPHkk08KIYQYGRkRn/rUp5r2+f73vy8AUSwWd3ur29rPdnjnO98pPvKRj6z/vNuu1c997nPC4/EITdOEw+EQn/70pwUg/vzP/3zLY3Zq3+t1ENrhscceE//0n/7TpmPOnTsnAHH+/PkbvPNmt7sdisWieO1rXyve9773ieeff14899xz4l3vepc4fvz4ts/8YXsedtMON/t5uN1tcLWf//znAhC/+MUvdtz3jW98o3jPe96z63Pv5CC0w93wrvjkJz8pAPH000+vb4tGo0JV1W1zh/b7d4MQd2hOTTQaFePj49v+uXqsWgghPv7xj4twOLyrpKP//t//u2hvb9/y8//wH/6DuPfee5u2TU9PC0C89NJLQggh3vCGN4jf+Z3fadrnS1/6kvB4PLu7yV3Yz3bwer1C07T1P6qqCkBomia++MUvbnsdhmGIpaUlUSwWxfnz5wUgnn/++S3336l9r9dBaIf3vve94h3veEfT/j/84Q8FIJLJ5N4bQdz+dviTP/kTEYlEmhI9K5WKcDgc4oknntjyug/b87CbdrjZz8PtboOrfeADHxD33Xffrq773/7bfyte97rX7f5Gd3AQ2uFueFd86UtfEoBYWFho2h6JRMT//J//c8vr3u/fDUIIYbqOTp1bJhwOEw6Hd72/EIIvf/nLvO9978NsNu+4/yuvvEJHR8eWnz/00EN88pOfJBqNEolEgMaYocfj4dixY+v7PPnkk03HPfPMMzz00EO7vu6d7Gc7PPfcc+i6vv7zd7/7XT7zmc/w85//nK6urm3PqygKnZ2dADzxxBP09PTwwAMPbLn/Tu17vQ5COzz00EP83u/9HrVabf07n3nmGUZHR/H7/bu+9u3c7nYoFouoqoqiKOvbrvxsGMaW13HYnofdtMPNfh5udxtckc/n+frXv86nP/3pXV3HYXsWrtiuHe6Gd8XrX/96ACYmJtaHspLJJPF4nL6+vi2vY7+fB+DOHH66Xj/4wQ9adq8JIcRXvvIV8bWvfW09Wv3kJz8pVFUVX/rSl9b3+b//9/82zUq4MqX7rW99q3jllVfEU089JcLhcMsp3R/60IfE+Pi4+MM//MPbNk3viu3a4VqtuhSvbQchhPjsZz8rTp8+Lc6ePSs+/vGPC7PZLL797W+vf76b9r3Vbkc7pNNp0dbWJt773veKs2fPij//8z8XDofjtkzpvmK/22F8fFxYrVbxz/7ZPxPnz58XZ8+eFe95z3uE1+sVy8vLQoi743nYTTvcac/DzfhvQohGr5XNZms5w+nzn/+8+M53viMuXbokzpw5I37nd35HqKq67QyZm+12tMPd8q54xzveIY4fPy5+9rOfiTNnzohf+7VfE8eOHVvvCbpVvxsORVDzD//hPxQPP/xwy8++8pWviLGxMeFwOITH4xGvfe1rxTe+8Y2mfb785S+La+O72dlZ8fjjjwu73S5CoZD43d/9XVGr1Zr2+dGPfiTuu+8+YbFYxODgoPjyl7+8r/d1vbZrh2u1elBbtcOb3/xm4fV6hc1mE7/8y7+8nlN0xW7a91a7He0ghBCvvvqqeOSRR4TVahVdXV3iD/7gD274HvbDzWiHv/zLvxSvf/3rhdfrFX6/X/zqr/6qeO6559Y/v1ueh53aQYg763m4GW0ghBAPPfSQ+M3f/M2W5/nMZz4jhoaGhM1mE4FAQLzpTW8SP/zhD6/72vfT7WgHIe6Od0UmkxEf+MAHhM/nE4FAQLzzne9sKntwq343KEIIsb99P5IkSZIkSbfeoZrSLUmSJEnS3UsGNZIkSZIkHQoyqJEkSZIk6VCQQY0kSZIkSYeCDGokSZIkSToUZFAjSZIkSdKhIIMaSZIkSZIOBRnUSJIkSZJ0KMigRpIkSZKkQ0EGNZIkSZIkHQoyqJEkSZIk6VCQQY0kSZIkSYfC/wdwfg6Kg/XziAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "#starting with MN, we moved the \"option2\" block earlier in the notebook, as we run it before running option 1 (as in other states)\n",
    "print(\"for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "62667c48-6c66-4381-b01d-518af61651bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7b967d22-41fb-454f-ae47-d72d712daa4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9715564f-3b60-43e5-9f1f-02f3dcee3933",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 22  #pick a county for visualization if desired\n",
    "print(\"here are the faint(original) and squished shapes for county\",c)\n",
    "for t in countyTractList[c]:\n",
    "    plotPoly(vtdGeom[t])\n",
    "    plotPoly(tractGeom[t],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "760bc48e-0236-4ad7-b3b8-d74795009f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "4ef91f8f-dabb-4c58-a8a4-bba8e725e586",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 572 is inside the map's convex hull\n",
      "working on confirming HD center 1107 is inside the map's convex hull\n",
      "working on confirming HD center 1850 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S \n",
    "#For GA, MA, MD, MN, NC we draw HDs for ALL vtds, even if they are in a CCB.  We use the clipPoly's to squish in the corners for these HD shapes\n",
    "#Not sure if below would work if we have cut districts AND squished-in corners\n",
    "#We normally draw for each (squished or orig) vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = int(input(\"enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs:\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "8393e96a-75c6-48ec-94e8-1f6fe58d31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "bcaf6ea2-1c3b-48c1-9ad6-937d7b7e4385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 1965 . Time = 0\n",
      "working on tract-tract distances for unit 435 out of 1965 . Time = 29\n",
      "working on tract-tract distances for unit 899 out of 1965 . Time = 51\n",
      "working on tract-tract distances for unit 1492 out of 1965 . Time = 64\n",
      "All done; total elapsed  68 seconds for TN with 7 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 3.5\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"unit\" nomenclature\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2f392acb-ba52-4343-80ae-a58ba0b57366",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 1965 . Time = 0\n",
      "working on unit-unit angles for unit 435 out of 1965 . Time = 14\n",
      "working on unit-unit angles for unit 899 out of 1965 . Time = 25\n",
      "working on unit-unit angles for unit 1492 out of 1965 . Time = 32\n",
      "All done with angles; total elapsed seconds = 34\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "4cc54eba-ca37-4680-9699-37332133afb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "767973.0 7 5375811.0 7.0 6910840.0\n",
      "5375811.0 5375811 0.77788\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight))) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "dac2348a-060a-40a9-beeb-02ff70ec1aa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)\n",
    "#for c in range(nCounties):\n",
    "#    for cc in opt2nbrCtyList[c]:\n",
    "#        plotPoly(countyGeom[cc])\n",
    "#    plotCenter(c,countyGeom[c])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "3873aaa2-0c39-4ac0-99c3-92dd7c18c555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 2699.717 of targetWedgePop\n",
      "I am working on HD number 0 of 1965 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 435 of 1965 HDs.  Elapsed sec = 90\n",
      "I am working on HD number 899 of 1965 HDs.  Elapsed sec = 200\n",
      "I am working on HD number 1492 of 1965 HDs.  Elapsed sec = 301\n",
      "389.394 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.99203 0.14442\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b7f36a0f-a3c6-4b07-aecd-9e010b02918f",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATE = \"11May\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "37c238bb-b340-431b-ad11-95e4409d9699",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "075013a3-f3ee-4a44-ac4a-27a7492e027a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./2024state_HD_output/TN1965convexHD2_7nW4_11May.csv\n"
     ]
    }
   ],
   "source": [
    "print(\"./\"+outpath)  #Note for PA - ran above in one session, restarted another"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "6e7e8ccd-8e11-4d6d-970d-b059401e0a3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv ./2024state_HD_output/TN1965convexHD2_7nW4_11May.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 --> 1 - we already have an ensemble of HDpoly's and their weights (from running option 2 above)\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"countyNo\" in shapeDF.columns.values:  #\"pigs\" == \"can fly\":\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "    if len(unassignedList) > 0:\n",
    "        if len(unassignedList) > 20:\n",
    "            print(\"  (too many to plot individually)\")\n",
    "        else:\n",
    "            print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "            for t in unassignedList:\n",
    "                print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "                plotPoly(hdCP[t].buffer(0.1))\n",
    "                plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "                plotPoly(countyGeom[HDcountyNo[t]])\n",
    "                plotPoly(MAP,0.2)\n",
    "                plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3f0f8434-5f7a-41d1-bd86-07ec230b4aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, let me renormalize the HDweights if there were cut districts\n",
      "our HDweight sum was 0.7778809811831093 but is now 1.0\n"
     ]
    }
   ],
   "source": [
    "print(\"now, let me renormalize the HDweights if there were cut districts\")\n",
    "sumWt = np.sum(HDweight)\n",
    "HDweight = [HDweight[t]/sumWt for t in range(nHDs) ]\n",
    "\n",
    "print(\"our HDweight sum was\",sumWt,\"but is now\",np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af22eba0-8e05-43e7-b96b-6aedab016957",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see early states for continuing w/option 1.  NC and later use option 3 ....\n",
    "#if this is a cold restart, would need to read in unit topology before below block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "8d5f678f-c2df-4ee7-bafe-fd75ba2cb42e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#OPTION 3 \n",
    "print(\"lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "HDtractListString = shapeDF[\"HDtractList\"]\n",
    "HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "nCCBs = len(CCBlist)\n",
    "CCBpopFrac = [[0. for j in range(nCCBs) ]  for t in range(nHDs)]\n",
    "\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "ec034144-b3dc-4b72-9350-6d85cabcb8a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 776506.12\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 956552.245\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block.  Just update max possible use for each CCB\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "1494814c-7b90-425c-b8b1-3a2006bdeb2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 74593.0 would be used 1.676 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 65321.0 would be used 1.393 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 2 with pop 161612.0 would be used 1.266 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 74593.0 would be used 1.6761005920780803 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 65321.0 would be used 1.392547654670166 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 2 with pop 161612.0 would be used 1.266199462741484 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0d38eb0e-b516-4fd4-bb9e-6ca0eecfa772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n",
      "For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 0 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.02541 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 1 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.03002 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 2 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 2 is 1.02243 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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s+7x587Rx40atW7dO27dv19GjRzV16tQOFwoAAM4NUYWPkydPavr06XryySf1pS99ydze2NiolStXasmSJRo/frzy8/NVWVmp//qv/1JNTU3MigYAAF1XVOGjpKREEydOVGFhYdj22tpatba2hm3Py8tTnz59VF1d3W5bgUBATU1NYUtn8CV49PSto/X0raOZXh0AABtFPM/H2rVrtWfPHr322mtnvFdfXy+v16u0tLSw7ZmZmaqvr2+3vfLyct17772RlhExj9ulgoEZnX4cwKnsmH1TYgZOoCuKaOTjyJEjuv322/XUU08pKSkpJgWUlZWpsbHRXI4cORKTdgEAQHyKaOSjtrZWx48f18iRI81twWBQO3bs0KOPPqotW7aopaVFDQ0NYaMffr9fWVlZ7bbp8/nk8/miqz4CrcGQnt5dJ0m68co+SvTwlDEAAHaIKHx89atf1VtvvRW2bebMmcrLy9O///u/Kzc3V4mJiaqqqlJxcbEkad++faqrq1NBQUHsqo5CazCku//wjiTpW/m9CR8AANgkovDRs2dPXXLJJWHbunfvroyMDHP7rFmzVFpaqvT0dKWkpGjOnDkqKCjQ6NGjY1c1AADosmL+w3JLly6V2+1WcXGxAoGAioqKtHz58lgfBgAAdFEdDh/btm0Le52UlKSKigpVVFR0tGkAAHAO4sYHAABgKcIHAACwFOEDAABYKuY3nMYrr8et33zvcnMdAADYwzHhI8Hj1vi8TLvLAADA8RgCAAAAlnLMyEdrMKQNb7wvSZpy2QXMcAoAgE0cFT5+9n/flCRNHJ5N+AAAwCZ8AwMAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsJRjnnYBACDe9Ju/yZbj/nXxRFuO+ynHhA+vx62Km0aa6wAAwB6OCR8JHrcmDs+2uwwAAByPIQAAAGApx4x8tAVD2vKOX5JUNDRTCVx6AQDAFo4JHy3BkErW7JEk7V1URPgAAMAmfAMDAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFjKMY/aJnrc+j/fGm6uAwAAezgqfFx/ea7dZQAA4HgMAQAAAEs5ZuSjLRjSjv0fSJK+MqgXM5wCAGATx4SPlmBIt6x6XRLTqwMAYCe+gQEAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALOWYR20TPW4tmjzUXAcAAPZwVPj4bkE/u8sALNFv/ia7S7CMkz4rcK6IaAhgxYoVGj58uFJSUpSSkqKCggK98MIL5vvNzc0qKSlRRkaGevTooeLiYvn9/pgXDQAAuq6Iwkfv3r21ePFi1dbW6vXXX9f48eM1efJkvfPOO5KkefPmaePGjVq3bp22b9+uo0ePaurUqZ1SeKSCIUPVBz9U9cEPFQwZdpcDAIBjRXTZZdKkSWGvf/GLX2jFihWqqalR7969tXLlSq1Zs0bjx4+XJFVWVmrIkCGqqanR6NGjY1d1FAJtQd34ZI2kT6ZX7+Z1zBUnAADiStR3XgaDQa1du1anTp1SQUGBamtr1draqsLCQnOfvLw89enTR9XV1Z/bTiAQUFNTU9gCAADOXRGHj7feeks9evSQz+fTv/3bv2n9+vW6+OKLVV9fL6/Xq7S0tLD9MzMzVV9f/7ntlZeXKzU11Vxyc3Mj/hAAAKDriDh8XHTRRfrTn/6kXbt26Yc//KFmzJihvXv3Rl1AWVmZGhsbzeXIkSNRtwUAAOJfxDc+eL1eXXjhhZKk/Px8vfbaa3rkkUc0bdo0tbS0qKGhIWz0w+/3Kysr63Pb8/l88vl8kVcOAAC6pA7PthUKhRQIBJSfn6/ExERVVVWZ7+3bt091dXUqKCjo6GEAAMA5IqKRj7KyMk2YMEF9+vTRiRMntGbNGm3btk1btmxRamqqZs2apdLSUqWnpyslJUVz5sxRQUGB7U+6AACA+BFR+Dh+/Li++93v6tixY0pNTdXw4cO1ZcsWXXvttZKkpUuXyu12q7i4WIFAQEVFRVq+fHmnFB6pBLdbZRPyzHUAAGCPiMLHypUr/+X7SUlJqqioUEVFRYeK6gzeBLd+MG6g3WUAAOB4DAEAAABLOWaaz2DI0NvvN0qSLrkgVR63y+aKAABwJseMfATagppcsVOTK3Yq0Ba0uxwAABzLMeEDAADEB8IHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLOWaejwS3W7d/dZC5DgAA7OGY8OFNcGvetYPtLgMAAMdjCAAAAFjKMSMfoZChAx+clCRd2KuH3EyvDgCALRwTPprbgvra0h2SpL2LitTN65iPDgBAXOGyCwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApRzzvGmC263ZXxlgrgMAAHs4Jnx4E9z6+TeG2F0GAACOxxAAAACwlGNGPkIhQ+83nJYkXZCWzPTqAADYxDEjH81tQV314Cu66sFX1NwWtLscAAAcyzHhAwAAxAfCBwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASzlmng+P26WbR/c11wEAgD0cEz58CR7dN+USu8sAAMDxHBM+AACR6zd/k+XH/OviiZYfE9ZyTPgwDEMfnWqRJKV398rl4tILAAB2cEz4ON0aVP79L0mS9i4qUjevYz46AABxhaddAACApQgfAADAUoQPAABgqYjCR3l5ua644gr17NlT559/vqZMmaJ9+/aF7dPc3KySkhJlZGSoR48eKi4ult/vj2nRAACg64oofGzfvl0lJSWqqanR1q1b1draqq997Ws6deqUuc+8efO0ceNGrVu3Ttu3b9fRo0c1derUmBcOAAC6poge+di8eXPY61WrVun8889XbW2tvvKVr6ixsVErV67UmjVrNH78eElSZWWlhgwZopqaGo0ePTp2lQMAgC6pQ8+bNjY2SpLS09MlSbW1tWptbVVhYaG5T15envr06aPq6up2w0cgEFAgEDBfNzU1daSkz+Vxu1Q8sre5DgAA7BF1+AiFQpo7d67GjBmjSy75ZNry+vp6eb1epaWlhe2bmZmp+vr6dtspLy/XvffeG20ZZ82X4NHDN4zo9OMAALomO2Zzdaqon3YpKSnR22+/rbVr13aogLKyMjU2NprLkSNHOtQeAACIb1GNfNx222167rnntGPHDvXu3dvcnpWVpZaWFjU0NISNfvj9fmVlZbXbls/nk8/ni6aMiBiGodOtQUlScqKH6dUBALBJRCMfhmHotttu0/r16/Xyyy+rf//+Ye/n5+crMTFRVVVV5rZ9+/aprq5OBQUFsak4Sqdbg7r47i26+O4tZggBAADWi2jko6SkRGvWrNEf/vAH9ezZ07yPIzU1VcnJyUpNTdWsWbNUWlqq9PR0paSkaM6cOSooKOBJFwAAICnC8LFixQpJ0tVXXx22vbKyUt/73vckSUuXLpXb7VZxcbECgYCKioq0fPnymBQLAAC6vojCh2EYX7hPUlKSKioqVFFREXVRAADg3MVvuwAAAEsRPgAAgKUIHwAAwFIdml69K3G7XPrGsCxzHQAA2MMx4SMp0aPl0/PtLgMAAMfjsgsAALAU4QMAAFjKMeHj45Y29Zu/Sf3mb9LHLW12lwMAgGM5JnwAAID4QPgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApx8xw6na5dM1Fvcx1AABgD8eEj6REjypnXml3GQAAOB6XXQAAgKUIHwAAwFKOCR8ft7RpyILNGrJgM9OrAwBgI8fc8yFJp1uDdpcAAIDjOWbkAwAAxAfCBwAAsBThAwAAWMpR93wAAOJfv/mb7C4BnYyRDwAAYCnHjHy4XS6N6p9urgMAAHs4JnwkJXr0ux8U2F0GAACOx2UXAABgKcIHAACwlGPCx8ctbRp531aNvG8r06sDAGAjx9zzIUkfnWqxuwQAABzPMSMfAAAgPhA+AACApRx12QWwGjM1AsCZGPkAAACWInwAAABLOeayi9vl0vDeqeY6AACwh2PCR1KiR3+8bazdZQAA4HhcdgEAAJaKOHzs2LFDkyZNUk5OjlwulzZs2BD2vmEYuvvuu5Wdna3k5GQVFhZq//79saoXAAB0cRGHj1OnTmnEiBGqqKho9/0HH3xQv/rVr/TYY49p165d6t69u4qKitTc3NzhYjvidEtQYxa/rDGLX9bplqCttQAA4GQR3/MxYcIETZgwod33DMPQsmXLdNddd2ny5MmSpNWrVyszM1MbNmzQt7/97Y5V2wGGDL3fcNpcBwAA9ojpPR+HDx9WfX29CgsLzW2pqakaNWqUqqur2/2bQCCgpqamsAUAAJy7Yho+6uvrJUmZmZlh2zMzM833/ll5eblSU1PNJTc3N5YlAQCAOGP70y5lZWVqbGw0lyNHjthdEgAA6EQxDR9ZWVmSJL/fH7bd7/eb7/0zn8+nlJSUsAUAAJy7Yho++vfvr6ysLFVVVZnbmpqatGvXLhUUFMTyUAAAoIuK+GmXkydP6sCBA+brw4cP609/+pPS09PVp08fzZ07V/fff78GDRqk/v37a8GCBcrJydGUKVNiWXfEXHJp0Pk9zHUAAGCPiMPH66+/rmuuucZ8XVpaKkmaMWOGVq1apTvuuEOnTp3S7Nmz1dDQoLFjx2rz5s1KSkqKXdVRSPZ6tLV0nK01AAAAyWUYRlxNetHU1KTU1FQ1NjZy/we6vH7zN9ldAgCc4a+LJ8a8zUi+v21/2gUAADiLY8LH6Zagrl2yXdcu2c706gAA2Cjiez66KkOG9h8/aa4DAAB7OGbkAwAAxAfCBwAAsBThAwAAWIrwAQAALEX4AAAAlnLM0y4uuXRBWrK5DgAA7OGY8JHs9Wjn/PF2lwEAgONx2QUAAFiK8AEAACzlmPDR3BrUNx99Vd989FU1tzK9OgAAdnHMPR8hw9Cbf2s01wEAgD0cM/IBAADiA+EDAABYivABAAAsRfgAAACWInwAAABLOeZpF0lK7+61uwQAABzPMeGjmzdBexZca3cZAAA4HpddAACApQgfAADAUo4JH82tQU17vFrTHq9menUAAGzkmHs+QoahXYc/MtcBAIA9HDPyAQAA4gPhAwAAWIrwAQAALEX4AAAAliJ8AAAASznmaRdJSk702F0CAACO55jw0c2boHfv+7rdZQAA4HhcdgEAAJYifAAAAEs5Jnw0twY1s3K3ZlbuZnp1AABs5Jh7PkKGoVf2fWCuAwAAezhm5AMAAMQHwgcAALBUp4WPiooK9evXT0lJSRo1apR2797dWYcCAABdSKeEj9/97ncqLS3VwoULtWfPHo0YMUJFRUU6fvx4ZxwOAAB0IZ0SPpYsWaJbb71VM2fO1MUXX6zHHntM3bp1029+85vOOBwAAOhCYv60S0tLi2pra1VWVmZuc7vdKiwsVHV19Rn7BwIBBQIB83VjY6MkqampKaZ1fdzSplDgY7PtNq9jHvSBjT495wAgnsT6O/azbRpn8URpzL+B//73vysYDCozMzNse2Zmpv785z+fsX95ebnuvffeM7bn5ubGujRT9rJOaxoAgLiXuqzz2j5x4oRSU1P/5T62//O/rKxMpaWl5utQKKSPPvpIGRkZcrlcNlZmr6amJuXm5urIkSNKSUmxuxzb0R/h6I9w9Ec4+iMc/RGus/rDMAydOHFCOTk5X7hvzMPHeeedJ4/HI7/fH7bd7/crKyvrjP19Pp98Pl/YtrS0tFiX1WWlpKTwH8tn0B/h6I9w9Ec4+iMc/RGuM/rji0Y8PhXzG069Xq/y8/NVVVVlbguFQqqqqlJBQUGsDwcAALqYTrnsUlpaqhkzZujyyy/XlVdeqWXLlunUqVOaOXNmZxwOAAB0IZ0SPqZNm6YPPvhAd999t+rr63XppZdq8+bNZ9yEis/n8/m0cOHCMy5JORX9EY7+CEd/hKM/wtEf4eKhP1zG2TwTAwAAECP8tgsAALAU4QMAAFiK8AEAACxF+AAAAJYifFiooqJC/fr1U1JSkkaNGqXdu3f/y/2XLVumiy66SMnJycrNzdW8efPU3NzcoTbjSaz745577pHL5Qpb8vLyOvtjxEwk/dHa2qpFixZp4MCBSkpK0ogRI7R58+YOtRlvYt0fXfn82LFjhyZNmqScnBy5XC5t2LDhC/9m27ZtGjlypHw+ny688EKtWrXqjH266vnRGf3hpPPj2LFjuummmzR48GC53W7NnTu33f3WrVunvLw8JSUladiwYXr++edjV7QBS6xdu9bwer3Gb37zG+Odd94xbr31ViMtLc3w+/3t7v/UU08ZPp/PeOqpp4zDhw8bW7ZsMbKzs4158+ZF3WY86Yz+WLhwoTF06FDj2LFj5vLBBx9Y9ZE6JNL+uOOOO4ycnBxj06ZNxsGDB43ly5cbSUlJxp49e6JuM550Rn905fPj+eefN+68807j2WefNSQZ69ev/5f7Hzp0yOjWrZtRWlpq7N271/j1r39teDweY/PmzeY+Xfn86Iz+cNL5cfjwYePHP/6x8dvf/ta49NJLjdtvv/2MfXbu3Gl4PB7jwQcfNPbu3WvcddddRmJiovHWW2/FpGbCh0WuvPJKo6SkxHwdDAaNnJwco7y8vN39S0pKjPHjx4dtKy0tNcaMGRN1m/GkM/pj4cKFxogRIzql3s4WaX9kZ2cbjz76aNi2qVOnGtOnT4+6zXjSGf3Rlc+PzzqbL5c77rjDGDp0aNi2adOmGUVFRebrrnx+fFas+sNJ58dnjRs3rt3wccMNNxgTJ04M2zZq1CjjBz/4QQcr/ASXXSzQ0tKi2tpaFRYWmtvcbrcKCwtVXV3d7t98+ctfVm1trTkMeujQIT3//PP6xje+EXWb8aIz+uNT+/fvV05OjgYMGKDp06errq6u8z5IjETTH4FAQElJSWHbkpOT9eqrr0bdZrzojP74VFc8P6JRXV0d1n+SVFRUZPZfVz4/ovFF/fEpp5wfZ+Ns+yxahA8L/P3vf1cwGDxjhtfMzEzV19e3+zc33XSTFi1apLFjxyoxMVEDBw7U1VdfrZ///OdRtxkvOqM/JGnUqFFatWqVNm/erBUrVujw4cO66qqrdOLEiU79PB0VTX8UFRVpyZIl2r9/v0KhkLZu3apnn31Wx44di7rNeNEZ/SF13fMjGvX19e32X1NTk06fPt2lz49ofFF/SM46P87G5/VZrM4Pwkec2rZtmx544AEtX75ce/bs0bPPPqtNmzbpvvvus7s0W5xNf0yYMEHXX3+9hg8frqKiIj3//PNqaGjQM888Y2PlneORRx7RoEGDlJeXJ6/Xq9tuu00zZ86U2+3M/6TPpj+cdH4gcpwf1uqU33ZBuPPOO08ej0d+vz9su9/vV1ZWVrt/s2DBAt188836/ve/L0kaNmyYTp06pdmzZ+vOO++Mqs140Rn90d6XblpamgYPHqwDBw7E/kPEUDT90atXL23YsEHNzc368MMPlZOTo/nz52vAgAFRtxkvOqM/2tNVzo9oZGVltdt/KSkpSk5Olsfj6bLnRzS+qD/acy6fH2fj8/osVueHM/+ZZDGv16v8/HxVVVWZ20KhkKqqqlRQUNDu33z88cdnfKF6PB5JkmEYUbUZLzqjP9pz8uRJHTx4UNnZ2TGqvHN05H/LpKQkXXDBBWpra9Pvf/97TZ48ucNt2q0z+qM9XeX8iEZBQUFY/0nS1q1bzf7ryudHNL6oP9pzLp8fZyOaPotITG5bxRdau3at4fP5jFWrVhl79+41Zs+ebaSlpRn19fWGYRjGzTffbMyfP9/cf+HChUbPnj2Np59+2jh06JDx4osvGgMHDjRuuOGGs24znnVGf/zkJz8xtm3bZhw+fNjYuXOnUVhYaJx33nnG8ePHLf98kYq0P2pqaozf//73xsGDB40dO3YY48ePN/r372/84x//OOs241ln9EdXPj9OnDhhvPHGG8Ybb7xhSDKWLFlivPHGG8Z7771nGIZhzJ8/37j55pvN/T99tPRnP/uZ8e677xoVFRXtPmrbVc+PzugPJ50fhmGY++fn5xs33XST8cYbbxjvvPOO+f7OnTuNhIQE46GHHjLeffddY+HChTxq21X9+te/Nvr06WN4vV7jyiuvNGpqasz3xo0bZ8yYMcN83draatxzzz3GwIEDjaSkJCM3N9f40Y9+FPZ/pl/UZryLdX9MmzbNyM7ONrxer3HBBRcY06ZNMw4cOGDhJ+qYSPpj27ZtxpAhQwyfz2dkZGQYN998s/H+++9H1Ga8i3V/dOXz45VXXjEknbF82gczZswwxo0bd8bfXHrppYbX6zUGDBhgVFZWntFuVz0/OqM/nHZ+tLd/3759w/Z55plnjMGDBxter9cYOnSosWnTppjV7PqfIgAAACzBPR8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAcIgdO3Zo0qRJysnJkcvl0oYNGyJuwzAMPfTQQxo8eLB8Pp8uuOAC/eIXv4ioDX5YDgAAhzh16pRGjBihW265RVOnTo2qjdtvv10vvviiHnroIQ0bNkwfffSRPvroo4jaYIZTAAAcyOVyaf369ZoyZYq5LRAI6M4779TTTz+thoYGXXLJJfrlL3+pq6++WpL07rvvavjw4Xr77bd10UUXRX1sLrsAAABJ0m233abq6mqtXbtWb775pq6//np9/etf1/79+yVJGzdu1IABA/Tcc8+pf//+6tevn77//e9HPPJB+AAAAKqrq1NlZaXWrVunq666SgMHDtRPf/pTjR07VpWVlZKkQ4cO6b333tO6deu0evVqrVq1SrW1tfrWt74V0bG45wMAAOitt95SMBjU4MGDw7YHAgFlZGRIkkKhkAKBgFavXm3ut3LlSuXn52vfvn1nfSmG8AEAAHTy5El5PB7V1tbK4/GEvdejRw9JUnZ2thISEsICypAhQyR9MnJC+AAAAGftsssuUzAY1PHjx3XVVVe1u8+YMWPU1tamgwcPauDAgZKkv/zlL5Kkvn37nvWxeNoFAACHOHnypA4cOCDpk7CxZMkSXXPNNUpPT1efPn30ne98Rzt37tTDDz+syy67TB988IGqqqo0fPhwTZw4UaFQSFdccYV69OihZcuWKRQKqaSkRCkpKXrxxRfPug7CBwAADrFt2zZdc801Z2yfMWOGVq1apdbWVt1///1avXq13n//fZ133nkaPXq07r33Xg0bNkySdPToUc2ZM0cvvviiunfvrgkTJujhhx9Wenr6WddB+AAAAJbiUVsAAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALPX/ASxgTBDYU4BnAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "print(\"For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    minCCBuse = float(input(\"enter target CCBuse for CCB \"+str(j)+\" I reco 1.02, as we may lose a little later\"))\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf747d9c-cf6d-420e-9c3c-6723619586ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#end of preliminaries for \"option 3\" - converting HDtractlists to unit lists instead of option 2's geometric probing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26102ca2-79c1-48db-b873-7fa3a1553911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 1.27886 0.17626\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"Here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e4c298-e6cb-4fee-a511-b8f6c3940539",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "c4183011-724a-4014-8c94-f9f9382c7e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Did I grossly overuse any units, or skip any live ones?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: underused < 0.5; below overused > 1.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Did I grossly overuse any units, or skip any live ones?\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < 0.5 and unitPop[u] > 5:\n",
    "        plotPoly(unitGeom[u])\n",
    "        #print(u,unitPop[u], unitUse[u])\n",
    "        #for c in range(nCounties):\n",
    "        #    if u in countyUnitList[c]:\n",
    "        #        print(u,\"is in county\",c)\n",
    "        #        print(\"its neighbor units are\",unitNbrs[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"above: underused < 0.5; below overused > 1.6\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 1.6:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 1593 populated HDs out of 1965\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 797 time is now 18\n",
      "working on HD 1749 time is now 36\n",
      "out of 1593 total HDs, there were 1404.0 contiguous and 440.0 complement-contiguous HDs\n",
      "137 HDs had both discontiguity problems, while enclave-only = 1016 and discontig only= 52\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 189 1016\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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hVT2VIwSVlpZq6tSpioyMlJ+fn9q1a6cPPvjAvnzLli1yc3PTpk2b1KlTJ/n7++u2227T4cOHHbbz8ccf69Zbb5Wvr6/q1at32We2lZk1a5batGmjWrVqKSIiQkOHDtX58xefxJybmys/Pz998sknDuusXLlStWvXVn7+xaNRp06d0iOPPKKgoCAFBwfrwQcf1DfffPOrvc6ZM0eJiYlq0qTJVX9/3NzcNG/ePPXu3Vt+fn5q0qSJw/dHkvbv368ePXrIz89PdevW1eDBg+39SBfvFtunTx9NmjRJ9evXl8Vi0dNPP63Cwmv3jKaqQkABAFSJqVOnavHixZo/f74OHDigkSNH6o9//KO2bt3qMO7FF1/UzJkztXfvXnl6etrvrSVJa9as0e9//3vdd9992rdvnzZt2qTOnTtfcZ/u7u6aM2eODhw4oEWLFmnz5s16/vnnJUkWi0X333//JVeRLlmyRH369JG/v7+KiooUExOj2rVr6/PPP9f27dsVEBCge++9t0re9MePH6+4uDh99dVXio+PV79+/XTo0CFJUl5enmJiYlSnTh3t2bNHK1as0MaNGzVs2DCHbWzatEmHDh3Sli1btGzZMn344Yc14/l1hgvKyckxJBk5OTmVv/Hv9hlGkuXif12FK9YM4Kr99NNPxsGDB42ffvrp/2Ze6//vndzfhQsXDH9/f2PHjh0O8wcOHGj079/fMAzD+OyzzwxJxsaNG+3L16xZY0iy92q1Wo34+Pgr7qdx48bG66+/fsXlK1asMOrWrWt/vXLlSiMgIMDIy8szDOPi+4mvr6/xySefGIZhGO+8847RsmVLo7S01L5OQUGB4efnZ3z66ae/2XdSUpLRrl273xxnGIYhyXj66acd5nXp0sUYMmSIYRiG8dZbbxl16tQxzp8/b1++Zs0aw93d3bDZbIZhGEZCQoIRHBxs78cwDGPevHlGQECAUVJSclV1VLbL/r7+f868f3MEBQBQ6Y4dO6b8/Hzdc889CggIsE+LFy/W8ePHHca2bdvW/nXZc9zKntmWnp6unj17XvV+N27cqJ49e6phw4aqXbu2BgwYoB9//NH+8c19990nLy8vffTRR5Kkf/7zn7JYLIqOjpYkffXVVzp27Jhq165trzk4OFgXLly4pO7KUPYYmJ+/LjuCcujQIbVr1061atWyL+/WrZtKS0sdPgZr166d/P39HbZx/vx5l3+wLifJAgAqXdl5EmvWrFHDhg0dlv3y4a9eXl72r93c3CTJ/ow3Pz+/q97nN998o/vvv19DhgzRyy+/rODgYH3xxRcaOHCgCgsL5e/vL29vbz300ENaunSp+vXrp6VLl+rRRx+Vp6enve6OHTtqyZIll2y/fv36V10LKo4jKACAShcVFSUfHx9lZGSoWbNmDlNExNVfBdS2bVuHB9D+mrS0NJWWlmrmzJnq2rWrWrRoodOnT18yLj4+XuvWrdOBAwe0efNmxcfH25fdcsstOnr0qEJCQi6pOzAw8Krrvlo7d+685HXr1q0lXXx23VdffaW8vDz78u3bt8vd3V0tW7a0z/vqq6/0008/OWwjICDAqe+zGRFQAACVrnbt2nruuec0cuRILVq0SMePH9eXX36puXPnatGiRVe9naSkJC1btkxJSUk6dOiQ9u/fr1dfffWyY5s1a6aioiLNnTtXJ06c0DvvvKP58+dfMu7OO+9UWFiY4uPjFRkZqS5dutiXxcfHq169enrwwQf1+eef6+TJk9qyZYueeeYZ/fe//71inceOHVN6erpsNpt++uknpaenKz09/TdPrF2xYoX+8Y9/6MiRI0pKStLu3bvtJ8HGx8fL19dXCQkJ+vrrr/XZZ59p+PDhGjBggEJDQ+3bKCws1MCBA3Xw4EGtXbtWSUlJGjZsmNzdXfstno94AMCV/XDEtPuZMmWK6tevr6lTp+rEiRMKCgrSLbfcor/85S9XvY277rpLK1as0JQpUzRt2jRZLBbdeeedlx3brl07zZo1S6+++qrGjh2rO++8U1OnTtVjjz3mMM7NzU39+/fX9OnTHR52K0n+/v7atm2bXnjhBfXt21fnzp1Tw4YN1bNnT1kslivW+dRTTzlcndShQwdJ0smTJ3XjjTdecb1JkyZp+fLlGjp0qBo0aKBly5YpKirKXsunn36qZ599Vrfeeqv8/f0VFxenWbNmOWyjZ8+eat68ue68804VFBSof//+mjhx4hX36SrcDMMwqrsIZ+Xm5iowMFA5OTm/+gtTLqfTpbe6S4O3Xrz23xW4Ys0ArtqFCxd08uRJRUZG/t+T4bmTrMtzc3PTypUr1adPn3Jv4/HHH1d2drZWrVpVaXVV1GV/X/8/Z96/OYICAK4oKOJiWLjOn8WDmouAAgCuKiiCwIAai4ACAEA1qIwzLFJSUipeiEm59im+AACgRiKgAAAA0yGgAICLcMGLLnEdqqzfUwIKAJich4eHJFXJ03SBylb23KOfP8KgPDhJFgBMztPTU/7+/vr+++/l5eXl8ncIRc1kGIby8/OVlZWloKAge7AuLwIKAJicm5ubGjRooJMnT+rbb7+t7nKAXxUUFKSwsLAKb4eAAgAuwNvbW82bN+djHpial5dXhY+clCGgAICLcHd3v+TW4UBNxQeZAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdJwKKDfeeKPc3NwumRITEyVJFy5cUGJiourWrauAgADFxcUpMzPTYRsZGRmKjY2Vv7+/QkJCNHr0aBUXF1deRwAAwOU5FVD27NmjM2fO2KcNGzZIkh5++GFJ0siRI/Xxxx9rxYoV2rp1q06fPq2+ffva1y8pKVFsbKwKCwu1Y8cOLVq0SCkpKZowYUIltgQAAFydUwGlfv36CgsLs0+rV69W06ZN1b17d+Xk5GjBggWaNWuWevTooY4dO2rhwoXasWOHdu7cKUlav369Dh48qHfffVft27dX7969NWXKFCUnJ/N8CQAAYFfuc1AKCwv17rvv6sknn5Sbm5vS0tJUVFSk6Oho+5hWrVqpUaNGSk1NlSSlpqaqTZs2Cg0NtY+JiYlRbm6uDhw4cMV9FRQUKDc312ECAAA1V7kDyqpVq5Sdna3HH39ckmSz2eTt7a2goCCHcaGhobLZbPYxPw8nZcvLll3J1KlTFRgYaJ8iIiLKWzYAAHAB5Q4oCxYsUO/evRUeHl6Z9VzW2LFjlZOTY59OnTpV5fsEAADVx7M8K3377bfauHGjPvzwQ/u8sLAwFRYWKjs72+EoSmZmpsLCwuxjdu/e7bCtsqt8ysZcjo+Pj3x8fMpTKgAAcEHlOoKycOFChYSEKDY21j6vY8eO8vLy0qZNm+zzDh8+rIyMDFmtVkmS1WrV/v37lZWVZR+zYcMGWSwWRUVFlbcHAABQwzh9BKW0tFQLFy5UQkKCPD3/b/XAwEANHDhQo0aNUnBwsCwWi4YPHy6r1aquXbtKknr16qWoqCgNGDBA06dPl81m07hx45SYmMgREgAAYOd0QNm4caMyMjL05JNPXrLs9ddfl7u7u+Li4lRQUKCYmBi9+eab9uUeHh5avXq1hgwZIqvVqlq1aikhIUGTJ0+uWBcAAKBGcTqg9OrVS4ZhXHaZr6+vkpOTlZycfMX1GzdurLVr1zq7WwAAcB3hWTwAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0nA4o3333nf74xz+qbt268vPzU5s2bbR37177csMwNGHCBDVo0EB+fn6Kjo7W0aNHHbZx9uxZxcfHy2KxKCgoSAMHDtT58+cr3g0AAKgRnAoo//vf/9StWzd5eXnpk08+0cGDBzVz5kzVqVPHPmb69OmaM2eO5s+fr127dqlWrVqKiYnRhQsX7GPi4+N14MABbdiwQatXr9a2bds0ePDgyusKAAC4NE9nBr/66quKiIjQwoUL7fMiIyPtXxuGodmzZ2vcuHF68MEHJUmLFy9WaGioVq1apX79+unQoUNat26d9uzZo06dOkmS5s6dq/vuu08zZsxQeHh4ZfQFAABcmFNHUD766CN16tRJDz/8sEJCQtShQwe9/fbb9uUnT56UzWZTdHS0fV5gYKC6dOmi1NRUSVJqaqqCgoLs4USSoqOj5e7url27dl12vwUFBcrNzXWYAABAzeVUQDlx4oTmzZun5s2b69NPP9WQIUP0zDPPaNGiRZIkm80mSQoNDXVYLzQ01L7MZrMpJCTEYbmnp6eCg4PtY35p6tSpCgwMtE8RERHOlA0AAFyMUwGltLRUt9xyi1555RV16NBBgwcP1qBBgzR//vyqqk+SNHbsWOXk5NinU6dOVen+AABA9XIqoDRo0EBRUVEO81q3bq2MjAxJUlhYmCQpMzPTYUxmZqZ9WVhYmLKyshyWFxcX6+zZs/Yxv+Tj4yOLxeIwAQCAmsupgNKtWzcdPnzYYd6RI0fUuHFjSRdPmA0LC9OmTZvsy3Nzc7Vr1y5ZrVZJktVqVXZ2ttLS0uxjNm/erNLSUnXp0qXcjQAAgJrDqat4Ro4cqdtuu02vvPKKHnnkEe3evVtvvfWW3nrrLUmSm5ubRowYoZdeeknNmzdXZGSkxo8fr/DwcPXp00fSxSMu9957r/2joaKiIg0bNkz9+vXjCh4AACDJyYBy6623auXKlRo7dqwmT56syMhIzZ49W/Hx8fYxzz//vPLy8jR48GBlZ2fr9ttv17p16+Tr62sfs2TJEg0bNkw9e/aUu7u74uLiNGfOnMrrCgAAuDQ3wzCM6i7CWbm5uQoMDFROTk7ln49yOl16q7s0eKsU3r5yt11VXLFmAMB1x5n3b57FAwAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATIeAAgAATMepgDJx4kS5ubk5TK1atbIvv3DhghITE1W3bl0FBAQoLi5OmZmZDtvIyMhQbGys/P39FRISotGjR6u4uLhyugEAADWCp7Mr3HTTTdq4ceP/bcDz/zYxcuRIrVmzRitWrFBgYKCGDRumvn37avv27ZKkkpISxcbGKiwsTDt27NCZM2f02GOPycvLS6+88koltAMAAGoCpwOKp6enwsLCLpmfk5OjBQsWaOnSperRo4ckaeHChWrdurV27typrl27av369Tp48KA2btyo0NBQtW/fXlOmTNELL7ygiRMnytvbu+IdAQAAl+f0OShHjx5VeHi4mjRpovj4eGVkZEiS0tLSVFRUpOjoaPvYVq1aqVGjRkpNTZUkpaamqk2bNgoNDbWPiYmJUW5urg4cOHDFfRYUFCg3N9dhAgAANZdTAaVLly5KSUnRunXrNG/ePJ08eVJ33HGHzp07J5vNJm9vbwUFBTmsExoaKpvNJkmy2WwO4aRsedmyK5k6daoCAwPtU0REhDNlAwAAF+PURzy9e/e2f922bVt16dJFjRs31vvvvy8/P79KL67M2LFjNWrUKPvr3NxcQgoAADVYhS4zDgoKUosWLXTs2DGFhYWpsLBQ2dnZDmMyMzPt56yEhYVdclVP2evLnddSxsfHRxaLxWECAAA1V4UCyvnz53X8+HE1aNBAHTt2lJeXlzZt2mRffvjwYWVkZMhqtUqSrFar9u/fr6ysLPuYDRs2yGKxKCoqqiKlAACAGsSpj3iee+45PfDAA2rcuLFOnz6tpKQkeXh4qH///goMDNTAgQM1atQoBQcHy2KxaPjw4bJarerataskqVevXoqKitKAAQM0ffp02Ww2jRs3TomJifLx8amSBgEAgOtxKqD897//Vf/+/fXjjz+qfv36uv3227Vz507Vr19fkvT666/L3d1dcXFxKigoUExMjN588037+h4eHlq9erWGDBkiq9WqWrVqKSEhQZMnT67crgAAgEtzKqAsX778V5f7+voqOTlZycnJVxzTuHFjrV271pndAgCA6wzP4gEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZDQAEAAKZToYAybdo0ubm5acSIEfZ5Fy5cUGJiourWrauAgADFxcUpMzPTYb2MjAzFxsbK399fISEhGj16tIqLiytSCgAAqEHKHVD27Nmjv/3tb2rbtq3D/JEjR+rjjz/WihUrtHXrVp0+fVp9+/a1Ly8pKVFsbKwKCwu1Y8cOLVq0SCkpKZowYUL5uwAAADVKuQLK+fPnFR8fr7ffflt16tSxz8/JydGCBQs0a9Ys9ejRQx07dtTChQu1Y8cO7dy5U5K0fv16HTx4UO+++67at2+v3r17a8qUKUpOTlZhYWHldAUAAFxauQJKYmKiYmNjFR0d7TA/LS1NRUVFDvNbtWqlRo0aKTU1VZKUmpqqNm3aKDQ01D4mJiZGubm5OnDgwGX3V1BQoNzcXIcJAADUXJ7OrrB8+XJ9+eWX2rNnzyXLbDabvL29FRQU5DA/NDRUNpvNPubn4aRsedmyy5k6daomTZrkbKkAAMBFOXUE5dSpU3r22We1ZMkS+fr6VlVNlxg7dqxycnLs06lTp67ZvgEAwLXnVEBJS0tTVlaWbrnlFnl6esrT01Nbt27VnDlz5OnpqdDQUBUWFio7O9thvczMTIWFhUmSwsLCLrmqp+x12Zhf8vHxkcVicZgAAEDN5VRA6dmzp/bv36/09HT71KlTJ8XHx9u/9vLy0qZNm+zrHD58WBkZGbJarZIkq9Wq/fv3Kysryz5mw4YNslgsioqKqqS2AACAK3PqHJTatWvr5ptvdphXq1Yt1a1b1z5/4MCBGjVqlIKDg2WxWDR8+HBZrVZ17dpVktSrVy9FRUVpwIABmj59umw2m8aNG6fExET5+PhUUlsAAMCVOX2S7G95/fXX5e7urri4OBUUFCgmJkZvvvmmfbmHh4dWr16tIUOGyGq1qlatWkpISNDkyZMruxQAAOCiKhxQtmzZ4vDa19dXycnJSk5OvuI6jRs31tq1ayu6awAAUEPxLB4AAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6TgWUefPmqW3btrJYLLJYLLJarfrkk0/syy9cuKDExETVrVtXAQEBiouLU2ZmpsM2MjIyFBsbK39/f4WEhGj06NEqLi6unG4AAECN4FRAueGGGzRt2jSlpaVp79696tGjhx588EEdOHBAkjRy5Eh9/PHHWrFihbZu3arTp0+rb9++9vVLSkoUGxurwsJC7dixQ4sWLVJKSoomTJhQuV0BAACX5mYYhlGRDQQHB+u1117TQw89pPr162vp0qV66KGHJEn/+c9/1Lp1a6Wmpqpr16765JNPdP/99+v06dMKDQ2VJM2fP18vvPCCvv/+e3l7e1/VPnNzcxUYGKicnBxZLJaKlH+p0+nSW92lwVul8PaVu+2q4oo1AwCuO868f5f7HJSSkhItX75ceXl5slqtSktLU1FRkaKjo+1jWrVqpUaNGik1NVWSlJqaqjZt2tjDiSTFxMQoNzfXfhTmcgoKCpSbm+swAQCAmsvpgLJ//34FBATIx8dHTz/9tFauXKmoqCjZbDZ5e3srKCjIYXxoaKhsNpskyWazOYSTsuVly65k6tSpCgwMtE8RERHOlg0AAFyI0wGlZcuWSk9P165duzRkyBAlJCTo4MGDVVGb3dixY5WTk2OfTp06VaX7AwAA1cvT2RW8vb3VrFkzSVLHjh21Z88evfHGG3r00UdVWFio7Oxsh6MomZmZCgsLkySFhYVp9+7dDtsru8qnbMzl+Pj4yMfHx9lSAQCAi6rwfVBKS0tVUFCgjh07ysvLS5s2bbIvO3z4sDIyMmS1WiVJVqtV+/fvV1ZWln3Mhg0bZLFYFBUVVdFSAABADeHUEZSxY8eqd+/eatSokc6dO6elS5dqy5Yt+vTTTxUYGKiBAwdq1KhRCg4OlsVi0fDhw2W1WtW1a1dJUq9evRQVFaUBAwZo+vTpstlsGjdunBITEzlCAgAA7JwKKFlZWXrsscd05swZBQYGqm3btvr00091zz33SJJef/11ubu7Ky4uTgUFBYqJidGbb75pX9/Dw0OrV6/WkCFDZLVaVatWLSUkJGjy5MmV2xUAAHBpTgWUBQsW/OpyX19fJScnKzk5+YpjGjdurLVr1zqzWwAAcJ3hWTwAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0CCgAAMB0nAooU6dO1a233qratWsrJCREffr00eHDhx3GXLhwQYmJiapbt64CAgIUFxenzMxMhzEZGRmKjY2Vv7+/QkJCNHr0aBUXF1e8GwAAUCM4FVC2bt2qxMRE7dy5Uxs2bFBRUZF69eqlvLw8+5iRI0fq448/1ooVK7R161adPn1affv2tS8vKSlRbGysCgsLtWPHDi1atEgpKSmaMGFC5XUFAABcmqczg9etW+fwOiUlRSEhIUpLS9Odd96pnJwcLViwQEuXLlWPHj0kSQsXLlTr1q21c+dOde3aVevXr9fBgwe1ceNGhYaGqn379poyZYpeeOEFTZw4Ud7e3pXXHQAAcEkVOgclJydHkhQcHCxJSktLU1FRkaKjo+1jWrVqpUaNGik1NVWSlJqaqjZt2ig0NNQ+JiYmRrm5uTpw4MBl91NQUKDc3FyHCQAA1FzlDiilpaUaMWKEunXrpptvvlmSZLPZ5O3traCgIIexoaGhstls9jE/Dydly8uWXc7UqVMVGBhonyIiIspbNgAAcAHlDiiJiYn6+uuvtXz58sqs57LGjh2rnJwc+3Tq1Kkq3ycAAKg+Tp2DUmbYsGFavXq1tm3bphtuuME+PywsTIWFhcrOznY4ipKZmamwsDD7mN27dztsr+wqn7Ixv+Tj4yMfH5/ylAoAAFyQU0dQDMPQsGHDtHLlSm3evFmRkZEOyzt27CgvLy9t2rTJPu/w4cPKyMiQ1WqVJFmtVu3fv19ZWVn2MRs2bJDFYlFUVFRFegEAADWEU0dQEhMTtXTpUv3rX/9S7dq17eeMBAYGys/PT4GBgRo4cKBGjRql4OBgWSwWDR8+XFarVV27dpUk9erVS1FRURowYICmT58um82mcePGKTExkaMkAABAkpMBZd68eZKku+66y2H+woUL9fjjj0uSXn/9dbm7uysuLk4FBQWKiYnRm2++aR/r4eGh1atXa8iQIbJarapVq5YSEhI0efLkinUCAABqDKcCimEYvznG19dXycnJSk5OvuKYxo0ba+3atc7sGgAAXEfKdZLs9eDY9+d1wcixv65Ty1sNg/yqsSIAAK4fBJRfyDpfoBBJzy5P14GfBRQ/Lw9t/HN3QgoAANcAAeUXcn8qUoik53q1VP0WnSVJx7LOa8R76fpfXiEBBQCAa4CAcgURwX5q1jCwussAAOC6VKFn8QAAAFQFAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdAgoAADAdpwPKtm3b9MADDyg8PFxubm5atWqVw3LDMDRhwgQ1aNBAfn5+io6O1tGjRx3GnD17VvHx8bJYLAoKCtLAgQN1/vz5CjUCAABqDqcDSl5entq1a6fk5OTLLp8+fbrmzJmj+fPna9euXapVq5ZiYmJ04cIF+5j4+HgdOHBAGzZs0OrVq7Vt2zYNHjy4/F0AAIAaxdPZFXr37q3evXtfdplhGJo9e7bGjRunBx98UJK0ePFihYaGatWqVerXr58OHTqkdevWac+ePerUqZMkae7cubrvvvs0Y8YMhYeHV6AdAABQE1TqOSgnT56UzWZTdHS0fV5gYKC6dOmi1NRUSVJqaqqCgoLs4USSoqOj5e7url27dl12uwUFBcrNzXWYAABAzVWpAcVms0mSQkNDHeaHhobal9lsNoWEhDgs9/T0VHBwsH3ML02dOlWBgYH2KSIiojLLBgAAJuMSV/GMHTtWOTk59unUqVPVXRIAAKhClRpQwsLCJEmZmZkO8zMzM+3LwsLClJWV5bC8uLhYZ8+etY/5JR8fH1ksFocJAADUXJUaUCIjIxUWFqZNmzbZ5+Xm5mrXrl2yWq2SJKvVquzsbKWlpdnHbN68WaWlperSpUtllgMAAFyU01fxnD9/XseOHbO/PnnypNLT0xUcHKxGjRppxIgReumll9S8eXNFRkZq/PjxCg8PV58+fSRJrVu31r333qtBgwZp/vz5Kioq0rBhw9SvXz+u4AEAAJLKEVD27t2ru+++2/561KhRkqSEhASlpKTo+eefV15engYPHqzs7GzdfvvtWrdunXx9fe3rLFmyRMOGDVPPnj3l7u6uuLg4zZkzpxLaAQAANYHTAeWuu+6SYRhXXO7m5qbJkydr8uTJVxwTHByspUuXOrtrAABwnXCJq3gAAMD1hYACAABMh4ACAABMh4ACAABMh4ACAABMh4ACAABMx+nLjIHrWvYpKf/H6q7COf51pSAesAnAtRBQgKuVfUpK7iwV5Vd3Jc7x8pcSdxNSALgUAgpwtfJ/vBhO+r4t1WtR3dVcnR+OSB8Oulg7AQWACyGgAM6q10IKb1/dVQBAjcZJsgAAwHQIKAAAwHQIKAAAwHQIKAAAwHQIKAAAwHS4igfVx9VuevbDkequAACuGwQUVA9XvumZf93qrgIAajwCSk3iSv/C/+GI6930TOK28QBwjRBQagL/uhf/Zf/hoOquxDle/lIjK2/4AIBLEFBqgqCIi89acaXzOSSORgAAroiAUlMERfBmDwCoMbjMGAAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA4BBQAAmA43agOuB670nCaJuwwDIKAANZorP6cpcTchBbiOEVCAmswVn9P0w5GLgSoj1bXq5qgPUKmqNaAkJyfrtddek81mU7t27TR37lx17ty5OksCah5Xe06TKx/1efQdyb9edVdy9QhV10b2KdcK22Wq+fej2gLKe++9p1GjRmn+/Pnq0qWLZs+erZiYGB0+fFghISHVVRaA6uaKR33yf5DeGyC9G1fdlTiHj9KqXvYpKbmzVJRf3ZU4r5p/P6otoMyaNUuDBg3SE088IUmaP3++1qxZo3/84x8aM2ZMdZX1q45lnXd4XaeWtxoG+V2TfX+X/ZP+l1dYbfsHrilXO+ojuV6oKvsoLf9H1/peu9rRiB+OXAwnfd+W6rWo7mqungl+P6oloBQWFiotLU1jx461z3N3d1d0dLRSU1MvGV9QUKCCggL765ycHElSbm5updd27nyecguMi//9/9v3LLkg79ILembxDoexvl7umt2vg4L9vSq9jp87m1+kEcv36UJRabn3Xz/AR/UtvlVVIgD3QCkgsLqruHrnzksFhvRN+sWvXUH+j9KHg6Xin6q7Eud4+klBN0sBN1R3JVev7Pfj3HmpEt9ry95XDcP47cFGNfjuu+8MScaOHTsc5o8ePdro3LnzJeOTkpIMSUxMTExMTEw1YDp16tRvZgWXuIpn7NixGjVqlP11aWmpzp49q7p168rNza1S95Wbm6uIiAidOnVKFoulUrdtVtdjzxJ903fNdz32LNG3mfs2DEPnzp1TeHj4b46tloBSr149eXh4KDMz02F+ZmamwsLCLhnv4+MjHx8fh3lBQUFVWaIsFotpf8BV5XrsWaLv68312Pf12LNE32YVGBh4VeOq5Vb33t7e6tixozZt2mSfV1paqk2bNslqtVZHSQAAwESq7SOeUaNGKSEhQZ06dVLnzp01e/Zs5eXl2a/qAQAA169qCyiPPvqovv/+e02YMEE2m03t27fXunXrFBoaWl0lSbr4cVJSUtIlHynVZNdjzxJ903fNdz32LNF3TenbzTCu5lofAACAa6dazkEBAAD4NQQUAABgOgQUAABgOgQUAABgOtdlQElOTtaNN94oX19fdenSRbt37/7V8StWrFCrVq3k6+urNm3aaO3atdeo0srjTM9vv/227rjjDtWpU0d16tRRdHT0b36PzMrZn3WZ5cuXy83NTX369KnaAquIs31nZ2crMTFRDRo0kI+Pj1q0aOFyv+fO9jx79my1bNlSfn5+ioiI0MiRI3XhwoVrVG3l2LZtmx544AGFh4fLzc1Nq1at+s11tmzZoltuuUU+Pj5q1qyZUlJSqrzOyuZs3x9++KHuuece1a9fXxaLRVarVZ9++um1KbaSlOdnXWb79u3y9PRU+/btq6y+qnDdBZT33ntPo0aNUlJSkr788ku1a9dOMTExysrKuuz4HTt2qH///ho4cKD27dunPn36qE+fPvr666+vceXl52zPW7ZsUf/+/fXZZ58pNTVVERER6tWrl7777rtrXHnFONt3mW+++UbPPfec7rjjjmtUaeVytu/CwkLdc889+uabb/TBBx/o8OHDevvtt9WwYcNrXHn5Odvz0qVLNWbMGCUlJenQoUNasGCB3nvvPf3lL3+5xpVXTF5entq1a6fk5OSrGn/y5EnFxsbq7rvvVnp6ukaMGKGnnnrK5d6sne1727Ztuueee7R27VqlpaXp7rvv1gMPPKB9+/ZVcaWVx9mey2RnZ+uxxx5Tz549q6iyKlQ5j/9zHZ07dzYSExPtr0tKSozw8HBj6tSplx3/yCOPGLGxsQ7zunTpYvzpT3+q0jork7M9/1JxcbFRu3ZtY9GiRVVVYpUoT9/FxcXGbbfdZvz97383EhISjAcffPAaVFq5nO173rx5RpMmTYzCwsJrVWKlc7bnxMREo0ePHg7zRo0aZXTr1q1K66xKkoyVK1f+6pjnn3/euOmmmxzmPfroo0ZMTEwVVla1rqbvy4mKijImTZpU+QVdA870/Oijjxrjxo0zkpKSjHbt2lVpXZXtujqCUlhYqLS0NEVHR9vnubu7Kzo6WqmpqZddJzU11WG8JMXExFxxvNmUp+dfys/PV1FRkYKDg6uqzEpX3r4nT56skJAQDRw48FqUWenK0/dHH30kq9WqxMREhYaG6uabb9Yrr7yikpKSa1V2hZSn59tuu01paWn2j4FOnDihtWvX6r777rsmNVcXV/97VllKS0t17tw5l/qbVh4LFy7UiRMnlJSUVN2llItLPM24svzwww8qKSm55G61oaGh+s9//nPZdWw222XH22y2KquzMpWn51964YUXFB4efskfNjMrT99ffPGFFixYoPT09GtQYdUoT98nTpzQ5s2bFR8fr7Vr1+rYsWMaOnSoioqKXOIPW3l6/sMf/qAffvhBt99+uwzDUHFxsZ5++mmX+4jHWVf6e5abm6uffvpJfn5+1VTZtTVjxgydP39ejzzySHWXUmWOHj2qMWPG6PPPP5enp2u+1V9XR1DgvGnTpmn58uVauXKlfH19q7ucKnPu3DkNGDBAb7/9turVq1fd5VxTpaWlCgkJ0VtvvaWOHTvq0Ucf1Ysvvqj58+dXd2lVZsuWLXrllVf05ptv6ssvv9SHH36oNWvWaMqUKdVdGqrY0qVLNWnSJL3//vsKCQmp7nKqRElJif7whz9o0qRJatGiRXWXU26uGavKqV69evLw8FBmZqbD/MzMTIWFhV12nbCwMKfGm015ei4zY8YMTZs2TRs3blTbtm2rssxK52zfx48f1zfffKMHHnjAPq+0tFSS5OnpqcOHD6tp06ZVW3QlKM/Pu0GDBvLy8pKHh4d9XuvWrWWz2VRYWChvb+8qrbmiytPz+PHjNWDAAD311FOSpDZt2igvL0+DBw/Wiy++KHf3mvlvtyv9PbNYLNfF0ZPly5frqaee0ooVK1zqiLCzzp07p71792rfvn0aNmyYpIt/zwzDkKenp9avX68ePXpUc5W/rWb+X3gF3t7e6tixozZt2mSfV1paqk2bNslqtV52HavV6jBekjZs2HDF8WZTnp4lafr06ZoyZYrWrVunTp06XYtSK5Wzfbdq1Ur79+9Xenq6ffrd735nv9ohIiLiWpZfbuX5eXfr1k3Hjh2zBzJJOnLkiBo0aGD6cCKVr+f8/PxLQkhZQDNq8OPJXP3vWUUsW7ZMTzzxhJYtW6bY2NjqLqdKWSyWS/6ePf3002rZsqXS09PVpUuX6i7x6lTzSbrX3PLlyw0fHx8jJSXFOHjwoDF48GAjKCjIsNlshmEYxoABA4wxY8bYx2/fvt3w9PQ0ZsyYYRw6dMhISkoyvLy8jP3791dXC05ztudp06YZ3t7exgcffGCcOXPGPp07d666WigXZ/v+JVe9isfZvjMyMozatWsbw4YNMw4fPmysXr3aCAkJMV566aXqasFpzvaclJRk1K5d21i2bJlx4sQJY/369UbTpk2NRx55pLpaKJdz584Z+/btM/bt22dIMmbNmmXs27fP+Pbbbw3DMIwxY8YYAwYMsI8/ceKE4e/vb4wePdo4dOiQkZycbHh4eBjr1q2rrhbKxdm+lyxZYnh6ehrJyckOf9Oys7OrqwWnOdvzL7niVTzXXUAxDMOYO3eu0ahRI8Pb29vo3LmzsXPnTvuy7t27GwkJCQ7j33//faNFixaGt7e3cdNNNxlr1qy5xhVXnDM9N27c2JB0yZSUlHTtC68gZ3/WP+eqAcUwnO97x44dRpcuXQwfHx+jSZMmxssvv2wUFxdf46orxpmei4qKjIkTJxpNmzY1fH19jYiICGPo0KHG//73v2tfeAV89tlnl/1/tazXhIQEo3v37pes0759e8Pb29to0qSJsXDhwmted0U523f37t1/dbwrKM/P+udcMaC4GUYNPp4JAABc0nV1DgoAAHANBBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAAGA6BBQAACBJ2rZtmx544AGFh4fLzc1Nq1atcnobhmFoxowZatGihXx8fNSwYUO9/PLLTm/nunpYIAAAuLK8vDy1a9dOTz75pPr27VuubTz77LNav369ZsyYoTZt2ujs2bM6e/as09vhTrIAAOASbm5uWrlypfr06WOfV1BQoBdffFHLli1Tdna2br75Zr366qu66667JEmHDh1S27Zt9fXXX6tly5YV2j8f8QAAgKsybNgwpaamavny5fr3v/+thx9+WPfee6+OHj0qSfr444/VpEkTrV69WpGRkbrxxhv11FNPlesICgEFAAD8poyMDC1cuFArVqzQHXfcoaZNm+q5557T7bffroULF0qSTpw4oW+//VYrVqzQ4sWLlZKSorS0ND300ENO749zUAAAwG/av3+/SkpK1KJFC4f5BQUFqlu3riSptLRUBQUFWrx4sX3cggUL1LFjRx0+fNipj30IKAAA4DedP39eHh4eSktLk4eHh8OygIAASVKDBg3k6enpEGJat24t6eIRGAIKAACoVB06dFBJSYmysrJ0xx13XHZMt27dVFxcrOPHj6tp06aSpCNHjkiSGjdu7NT+uIoHAABIuniU5NixY5IuBpJZs2bp7rvvVnBwsBo1aqQ//vGP2r59u2bOnKkOHTro+++/16ZNm9S2bVvFxsaqtLRUt956qwICAjR79myVlpYqMTFRFotF69evd6oWAgoAAJAkbdmyRXffffcl8xMSEpSSkqKioiK99NJLWrx4sb777jvVq1dPXbt21aRJk9SmTRtJ0unTpzV8+HCtX79etWrVUu/evTVz5kwFBwc7VQsBBQAAmA6XGQMAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANMhoAAAANP5fy7nVYK1Z7l3AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 729574 district pop vs 767973 target\n",
      "we'll also trim any HD with total islands' pop <= 15359\n",
      "working on HD 0\n",
      "Out of 189 discontig HDs 189 had discontig HDs.\n",
      "Of these, 189 won't be under 729574 after all minor discontigys were shed, while 0 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 0\n",
      "There are 0 HDs still with both discontinuity problems\n",
      "Additionally, 137 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 1\n",
      "working on enclave-generating HD 828\n",
      "working on enclave-generating HD 1925\n",
      "Out of 1153 HDpolys that generated enclaves, 0 had contiguous adjrs, while 1091 neighbored a state boundary while 62 had only internal enclaves\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required 0\n"
     ]
    }
   ],
   "source": [
    "print(\"Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t)\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")\n",
    " \n",
    "plotEnclaves = input(\"enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required\")\n",
    "if str(plotEnclaves) == str(1):\n",
    "    for i,t in enumerate(internals): \n",
    "        if i%500 == 0:\n",
    "            print(\"computing full enclave lists for HD\",t)\n",
    "        fullEnclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        tEpop = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in fullEnclaveLists ] ) \n",
    "        plt.scatter(HDvPop[t],tEpop)\n",
    "    plt.plot([aDP,aDP],[0,5000],ls=\"--\")\n",
    "    print(\"Here are the total enclave pops for enclaving HDs not touching the state boundary vs. the original HD pop\")\n",
    "    plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 806371 district pop vs 767973 target\n",
      "working on enclave-y HD 121 . We have evaluated 0 of 1153 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 244 . We have evaluated 200 of 1153 enclavy HDs.Time is now 5\n",
      "working on enclave-y HD 619 . We have evaluated 400 of 1153 enclavy HDs.Time is now 14\n",
      "working on enclave-y HD 980 . We have evaluated 600 of 1153 enclavy HDs.Time is now 24\n",
      "working on enclave-y HD 1512 . We have evaluated 800 of 1153 enclavy HDs.Time is now 32\n",
      "working on enclave-y HD 1913 . We have evaluated 1000 of 1153 enclavy HDs.Time is now 39\n",
      "Out of 1153 HDs with enclaves 1153 had enclaves.\n",
      "Of these, 870 wouldn't be over 806371 if all enclaves filled, while 283 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%200 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "62 1091 137 131\n",
      "283 283 870\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))\n",
    "#610 3379 2187 1954\n",
    "#80 80 3909  for original MN option3 (assigned CCBs by captured area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.2811 0.17645\n",
      "CCB cluster 0 = unit 1437 with pop 74593.0 now has use of 1.0019024106315995\n",
      "CCB cluster 1 = unit 1438 with pop 65321.0 now has use of 1.0254722496754567\n",
      "CCB cluster 2 = unit 1439 with pop 161612.0 now has use of 1.020688227320452\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 283 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the barredJettisonSet (cannot be shed in below MUSTFREE code) is {1437, 1438, 1439}\n",
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 899\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set(list())\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u]% 1 > 0.23 and allUnits[u]%1 < 0.27:\n",
    "        barredJettisonSet.add(u)\n",
    "print(\"the barredJettisonSet (cannot be shed in below MUSTFREE code) is\",barredJettisonSet)\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 283 HDs\n",
      "working on HD 24 cantFill 0 of 283 .Time is now 0\n",
      "working on HD 207 cantFill 20 of 283 .Time is now 0\n",
      "working on HD 422 cantFill 40 of 283 .Time is now 0\n",
      "working on HD 476 cantFill 60 of 283 .Time is now 0\n",
      "working on HD 569 cantFill 80 of 283 .Time is now 1\n",
      "working on HD 619 cantFill 100 of 283 .Time is now 1\n",
      "working on HD 887 cantFill 120 of 283 .Time is now 1\n",
      "working on HD 1199 cantFill 140 of 283 .Time is now 2\n",
      "working on HD 1228 cantFill 160 of 283 .Time is now 2\n",
      "working on HD 1295 cantFill 180 of 283 .Time is now 2\n",
      "working on HD 1492 cantFill 200 of 283 .Time is now 2\n",
      "working on HD 1813 cantFill 220 of 283 .Time is now 3\n",
      "working on HD 1868 cantFill 240 of 283 .Time is now 3\n",
      "working on HD 947 cantFill 260 of 283 .Time is now 3\n",
      "working on HD 1699 cantFill 280 of 283 .Time is now 4\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.27052 0.17209\n",
      "CCB cluster 0 = unit 1437 with pop 74593.0 now has use of 0.9785461207620352\n",
      "CCB cluster 1 = unit 1438 with pop 65321.0 now has use of 1.0254722496754567\n",
      "CCB cluster 2 = unit 1439 with pop 161612.0 now has use of 1.0172063340768098\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "c32dd108-073b-48aa-99ce-fea50c8d023c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "out of 1593 total HDs, there were 1576 15 2 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "1ef683a2-4429-4a91-b1ea-a9b0950dea22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on current HD diam for HD number 0\n",
      "working on current HD diam for HD number 1107\n",
      "here is the histogram of HD diameter = sqrt(area)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on current HD diam for HD number\",t)\n",
    "    HDdiam[t] = (HDpoly[t].intersection(MAP) ).area ** 0.5\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "print(\"here is the histogram of HD diameter = sqrt(area)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than 38399 but less than 191993\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 15 HDs to triage in this block\n",
      "working on swell-filling discontig HD 81 our 1 th HD we think we can swell out of 15 0.001 sec elapsed\n",
      "we partially regrew 4 HDs, leaving 13 to regrow from scratch\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than\",int(aDP-minPostFixPop),\"but less than\",int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    "startTime = time.time()\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%40 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList),SEC,\"sec elapsed\" )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.50 * aDP or contigPop > 2.*aDP - minPostFixPop:  #formerly < 0.75 aDP\n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 1.27052 0.17209\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.27056 0.17199\n",
      "CCB cluster 0 = unit 1437 with pop 74593.0 now has use of 0.9785461207620352\n",
      "CCB cluster 1 = unit 1438 with pop 65321.0 now has use of 1.0254722496754567\n",
      "CCB cluster 2 = unit 1439 with pop 161612.0 now has use of 1.0172063340768098\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1107 time is now 3\n",
      "out of 1593 total HDs, there were 1582.0 contiguous and 1591.0 complement-contiguous HDs\n",
      "0 HDs had both discontiguity problems, while enclave-only = 2 and discontig only= 11\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 11 2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 729574 district pop vs 767973 target\n",
      "we'll also trim any HD with total islands' pop <= 15359\n",
      "working on HD 393\n",
      "Out of 11 discontig HDs 11 had discontig HDs.\n",
      "Of these, 9 won't be under 729574 after all minor discontigys were shed, while 2 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 2 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15 0 2\n",
      "{1312, 1537, 1881, 393, 1644, 81, 788, 565, 86, 568, 1238, 1498, 959}\n"
     ]
    }
   ],
   "source": [
    "print(len(discontigOnly),len(bothProblems), len(badDiscoList))\n",
    "print((set(discontigOnly).union(set(bothProblems)) ) .difference(set(badDiscoList)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 2\n",
      "swell-generating HD 714 our 1 th HD we must regrow out of 2 0 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 1.27056 0.17199\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.27075 0.1719\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(not-so-)final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 572 time is now 1 sec\n",
      "working on HD 1107 time is now 3 sec\n",
      "working on HD 1850 time is now 4 sec\n",
      "out of 1593 total HDs, there were 1591 0 2 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 4 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"(not-so-)final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "623fb818-67d9-458d-b854-4c70dfa449ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 806371 district pop vs 767973 target\n",
      "working on enclave-y HD 378 . We have evaluated 0 of 1153 enclavy HDs.Time is now 0\n",
      "Out of 1153 HDs with enclaves 2 had enclaves.\n",
      "Of these, 2 wouldn't be over 806371 if all enclaves filled, while 0 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#OPTIONAL if still enclaves -- rerun the CANFILL CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(enclaveOnly):  #internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "e262f9ab-1aee-4b76-bd8b-a60d62e650ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2194 697094.0 124120.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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HUVQT+YV3kFGYQvmB3knXRZrVih4IDvuYl6s6rxN+7Q2McJj4/EtJuN3lpK2hZRDHuMRssxIKBAbcRlXVQcV15d9xyDB4rakdp6ZyXdLAictgqIp0wBgpQ0pY1q9fz+HDh3sse/DBByktLeXLX/4ymqbhdrvZuHEjVquV559/PmpJTFFREZmZmWzZsqU7QXG73ezevZvPfOYzQzubUWAYBorVNqhvsOKSYNBPVXkduUWZ/W7T0eUjGBr6jehyI1VjXFR6J2eP/QUYuNSgB91A7wpihA2MsI4RMuDCbyOsw4Xf/tNtWPJctB6vY0frIWbkl5BZnH3hA3VgbS0NvLTlN3R1url5w0eJcyT03MBi7tnuaAC51gwOtRzB5CunI9DBpqJNvbYxjHCkvcwYUU0q4dDACZemKoQH+z65LPZNszcRCocwa2ZMmoljNcf4894/c8+SewCYnrqYX7z5EHkhuLH/HQ7uuEPkMtvwhgf3ug3dwDE7nU4y0m8Z1J40q5VwcODEABjUN4dQxmIKb+pdCuOId1JfXj2oeC6y2q2EfIOIaxiKHTbWJDrY1tY1IvvzBD20+lpJsg2vNFZcMqSExeVyMXfu3B7LnE4nKSkpzJ07F7fbzU033URXVxe//e1vcbvd3Q1i09LS0LTIN7fS0lIee+wx7r777u5xXL7zne8wffp0ioqK+Od//meys7O56667RuYsr4ZhgCoNqfrW/3VZsnI+p49VDJiwNLu7KMxI6Hf9WHImpBHwtqFZhpCwJFgJNftAi7RZUUwqWE2ozkjbFcWkgKZ2V2lZZiWR8nYDrsJUbCkuAoEAlisby17hgQ/+AwDv7HuZzk53r4RFNZkwotzwL0o0uViVuZAOc5h3qt/pcxtD18c0YVE0E3qU+FWTgq4PvSxtembPKp78lHy+9uLXuGfJPYT0EJkJs8mOm06coUDTKQgHLvwEu/+t6qNzUwR6tXcYjOF8EoXDYU6fPt39+RuIUjJxOdVqRQ+OTGKl9PM5aot34PMMLTkwWy2EB3UeQ79im/JWcqBxL2ZL7zZEw7GxYCOvnnuV9QXrMav91zaI6EZ0pNt9+/axe/dugF7tFsrLyyksLASgrKysx2ByX/rSl+js7ORTn/oUbW1trFq1is2bN0ctnRkTui5jqvSr/w9c3TCIdt9LirPz27cOMzM3jczkvhOFcJQb1UhUCV1ktaXi9Q2haNplwZI3+CJjTdOYP38+e/fupba2FpvNhsPhwGQyEQwH2VG9g3Puc0xPnM6yrJ5192E9jKb0/nNVNA3DGFzpQ3vQQ1ndTqpCjdwz/Z4+tzGMsU1YNJOJUHDgKgdVVSI9rAZjgGuhqioLMxeyp24P/rCfOHMcRSU3k64DmgUszshvzRLpFaVZaA4PrapitA31/e7z+Th58iSzZ8/ut6fmQFRVHVxidRXf6UwmE7o+tGpNRVV795Dq02C2uRR8pbuSJl8TIX3kSr8URWFd/jr21O5hXto8FBTiLJOkZ+kYu+qE5a233ur+99q1a7u7pA7kym0UReFb3/oW3/rWt642nJGn60S984penE4bHe2dvPniTm64bWWf2yTE2VkxI5tgP9+wz51sptMzet9wr5SWtZDq89s5f3I3BTOWj8oxUlNT2bhxY68u4buCu5ibOpeOQAedwc5e68NGGLPaR8LSq+Nr/yoDdcxPuZbrk/tvdKujoyhj14ZlMFVCJpNKeBBtWMKeAMEW/4DbGBjohs7yzOWYtcn5bTcQChAIBKirq8Pv9zN37twBqx+j5RrKSFWLjeS3ixEVCcwb8nKq7RSJ1kRKk0t5t2Og99zQTsaqWTEweP7M8+TE5bA2b+3ww53CZC6hKCJjQUiV0FCZzCZW37SUd7fs63ebZ3Ycp6uri+vn990jpXBGCqeqBp7WYSRfmWCwC5szDcMYuUas/bmyG+bHZn8MgERbIieaT7C7bje7anaxNm8tC9MX0hXqQusrkehjKI6BRPu2HClhGbv3u2Y2E45S5dDfzTYytk2kytZ/tp1QoxfbtIGrGLsCXRyqPMSC1AWDSlhO1XdE3aY7FiKv60hcvqA+/LZdM/NK2LdvH7NmzSIhIXqV67jNI0bE4F8MT8BDij0Fm2bjtcYmbsycNqKRXJdzHdflXMe2qm20+FpItvXf2Fn0TRKWaHS937pXcXXXxW6CDStmYY7SBXQgI/lh2+luwOZIJTyYThEjfOyLVmStYEXWCv5y+i/cUXIHLrOLLee3YOqv7ltRMIJBuvbtw3FZ770+Nx3E62XoYdQ+SnKGZRB3bs2kEh5ko+GLDMMgUN6O7g0TbOzCnObAUhiPtTABrbxzwOfetfAuyqvKCfqC2MzRq5w/sapoyAlcuPnqB7I0X0U1tKIorFix4qpjGHEDXMYRK8XpZfBVQin2FKo8VSRaE2mpP0iape/xWy5/znCsyV3DW5VvSSnLMEjCEo1hjMiInpPT1d2yVVUlFO1mNZTig6vk62okPrmYznDjoLYfzTT2zpI7u/+9vmA9jZT3E4OCY/EiQlV1eN7Z3nOd2YxzRc+qrWiX0zB0lCunGDv1OvjdkLMEkgovbjmY04hK0TT0wfQAMiDY0EW41YfuC2FKtmMvTsRmJA8poUiKSyKUEiI8yK7gwyltGuwzRu8mPbIuL5UzQiFCLS2Y0yPjnxiGge7xoLvbI+OspEwDe+KQ9h/0hwEDd1Mj8an9j8l0pa5AmLdP9vxbvbK5weA6l0Weoyoqi9IXAYN7Da9mpG/TSH0pmGLkqkVh6Ia0YRklFrOJQJQGl9EMeiyUQWwTDLSjai4UpflqQho9fWUbioJh0Odghv4zZ/CXl2MtKopsOoiLoKP3MQ6LArnXQHDkJyPVTOZBlbBYm32ggG1mz2L04dwwNE2LnihfhcGmcsPpJRQL4dZWPNsig58pJhMoCv6yMi7+9alxTuw3fgiS0+DkZljQ9/xvmkkjHPCjWXqOoVVxtJmlt6+l6tghQoFAj4ESdZ+PUEMDoYYGUBQcSy6NXbSiOJm4AQadBGhuHt4tbqDXRjcMdMAfDmMbRkNmMXxytaMx9NH9Kj2hXd2FyU9L4HhlIznp/Y8sm5bq5JVXTpGQ7uDaJZEPMn95O0Yw8tXJ1BFka7Mbr65jU9XuwcMVwB0Oc2d6pEvxYG4Nmsl8oYRh/Lzg5w7uA8Ogq8NN0aKlvdZH7td9n5112jTcm1/tTliSzYkcajmC1XeeyLN6P6/D38q0mv3QfKFERyHSe8YaD7UHob0CABs6W6NUfbQnJF5W6tPXBA7g6Ohkf2IBlWUNF87nwrw6VyRnqddlY05zDHg8gGAwSHNzM6FQiGAwSCgUIhQK9dif1+slJ6f/0YOvll1T2drs7ueML1+mEtSDQ+rqqoxCiWM4GKT8wN7L4ur5auXfdz9x6f0PT9CDMy0yhUMfgw+m5MRRdbgWbK4exwgFdfSQTnxqOrWnTtDeEJmSxZabi/fQIczp6dhmz6Zrb//t4QYSmZrATzjcRTjsJax3oYe9hMNedN1Ph7ea7dU9SyfNqqXH+/vy66EqkGQ2oxsBhnsLTXekU+upJSuu/2lHRG+SsEQj3Zqvislk5vTp0z2WXSxKVYGKtmCvYt0e7Br2wgTstZ34TrYCoNpNWIsijQnXXxgaP2wYNAZCZFovffhXeP282exGAVKj5CDnTmwmPXtZZBySQbZZGpPvx4ZB4cKBRsRVBuyZZ1+8CPerrxG/8SYyzMnkZ81Ai3P2v7sLQ5T3adbt3f+ceeFnQNf1Paz65eKA3sPXDV9eXh5+vx+73Y7L5cJkMmEymQY1SN9IWZk4uC6r2Uoibb420hy9Swlsqka9z4vPUGkPhWkPhgkaBq0d/u6/A90fRrX2TgxU+9A+1kuuGcH2LvZE8LWDo3eDUntSAgVpCiT1/QUlMTOLxMyRvYHbbDm0tLyDqlrRNDua5sCkOVHNKWiaA1W18qGU3nOdDTwRARzRrQT14ZcOT0+czvbq7ZKwDJEkLFEYui5tWPrR3GJQcTRSfXJxslpHvAWr04SmqaiaQlpiJkUl/Rfb9jPNUG+zBl6tKUqPZAUg324l3x4pfj5XOfDzPe3nKSzdRFNt1aATlvFQDqMoyoCZkzk9HeWapbQ9+xyWgoKxCyxG4uLiuucSGu8ynZnsqN5BvLX3GETFVpXzvhDJFjNZVjOlThsWVYVVQxjYMBbsydDV0mfCgtUFXVdT3XrlGz36X6DTWYLTOdgPmcGzaBb84YG70A/kTNsZihKKRjCiqUESlsGQNix9mj9XI+6yiQINw8Dd5CMc1An6woRDOqlDGFhtNPk6PZQf2Nv9EXf5vLOGEcSREPmAjbRZGg+pSHSGYRAOBaO2hTAlJ2POycZfdgLrjBljFJ2IJsGawC3Fgxsif8JwpMCB30HrucjjHvVLRqTh9jCpzjg877zDxb9cc9Ygq6lGgVWzXlXC4g15SbQljlxAU4QkLNHo0oZlsBRFISEt+szJsVB6Xf8ztja3bCcx4Q5gaC3/x6JKKBwO9WhfcDmFyDgmWSXR57lyLluGKTUNdYBJBoW4arZ4WPHpUdm1Y/GiUdnvcFhUC12h4c81NCd1Di+efZFbim6RHkNDIFcqGmnDMqnpegg97EXTrBceG+OqSmjakpEbcddaLEXQQowEs2Ym4B/+KNyqopJiSyEQDnQnLJcPPnig4QAL0xeORKiTiiQsURi6jMMymTU3byU5+VKjO0M30ExSpCaE6J9Ns11VlRCAP+ynxlNDlaeK1Tmrean8JayalWRbMuXt5cxMnondND5LrGNF7sRRTZw2DWJo2t0HcTpLuktXACxWDb93cIOKTYxRNIQQI81qsuILX924RCuyVqAqKnNS5vCHk39gQ/4GNhZupCvYxeyU2XhD3hGKdvKQEpYoAqi8uf0YliPV/W4TNmBN+pVjKVy8nV1tsnPlfi5/fOVIDyN9C710zHBrK1pSUo91qs3a15PGJa+3Gl334nBM626jEgw0kxC/oMd2qllBD+uEwzqqooDSc3AynydIXXk7iqrQ2XZ137CEEBOTWTUTHuIM01dymB0UJ0bmUftw6Ye7l1+fdz1BPciLZ14kyZZEki2JBWkL+tvNlCIJSxT1qp3cDdezKD+p323eKmsgbmb6GEYlBkvXg9Q3vIQrbhaa5qCpaQsmk4v4+PmoWu/iVl1v5/S+OlS9LVIdGPmPUCCMyaIR8ocpmJuCyTJ2MxoLIaYWs2rmtmm3oaJytv0sb1a8SVFC0ZTvCi0JSxQ2s0ZIH7jkYixntxX9MwyDYLAVi+XSGBBtbXtIT7sJTYuMkmq35xEMttLU/BZpqTf02oeu1LL6ro1YbJYxi1sIIa50cQTk6UnTKYwvZH/DfklYYh2AECNF1wOcO/9j8vP+Bp+vhlDYg0mL605WLjKbk8hIv7nHsobGV9FUO2ZzoiQrQohxpSPYgcMcfWqKyU4SFjGppKXeSCDQhNNZgtmcOOjnaaqdlD6G6BZCiFhLsibxbs275MblTukB5yRhEZNCOOyjvv55kpKuxW7PjXU4QggxYhRF4daiW3mz8k10QyfBksCyrOhzdU02krCISUHXAzid0yVZEUJMSoqisD5/PUCv2aWnCklYopD2tBOFLnM+CSEmtXPt5yhrLWNu6txYhxITkrCIScJAkUmfhBCTVEgPcbb9LBsLN8Y6lJiRr6RiUjAMKWERQkxeZ9rOTNmSlYvkE15MCgYGirydhRCTVKO3kTR7WqzDiCmpEhKTg5SwCCEmsXmp89hauRWzaqbN38b6/PVTbmwWSViiUDF4dc8J9sZZUABV07CaNZxWMw6rGafNTF1zF11dTmw2G6rM7BwTBrq0YRFCTFoJ1gRuyI+Mzq0bOm9Xvs26/HUxjmpsScIShY0g9y0rID09HV3XCYVCeP0BOn1BPL4AXf4gM1LMVFdXExcXR1ZWVqxDnpL0sJdweODZTX2+GjyeMhTl4jxAl6ZcUFQZ3VYIMTGoioqmTr35zCRhGQJVVbFYLFgsFhJcPde1tbURDAZjE5hAVa29huC/UlfXOZKTr0OV5EQIMcFpiiQsYphCoRAmk1zOWFFVC273Ifz+uu5loXAnpsuSGE/nKZKSVsQiPCGEEFdJ7rAjJBQKYbHIN/dYsVhSyc7+QI9lhmH0mEk7JeX6sQ5LCCHECJEWoiMkHA5LCcs4o8gwxUKISUpVVEJ6KNZhjClJWEaIVAkJIcTUYVzWaH+s1Xpqqeuso76rPmYxxILcYUeIJCxCCDF1KCi9qp3HysnWk2ws3IjdZB/zY8eSlLCMEF3XZQwWIYSYIsyqOWZVMgvTF3Kw8eCUq/aWO+wImWpvHCGEmMosmgVf2BeTYydYEwiEAzE5dixJwiKEEEIMkc1kwx/2x+z4dpN9yiUtkrAIIYQQQ2TRLDFNWDqCHVNuOhJpJRpFMBgkGAxSW1tGe7vRZ8Nak8lEW1vb2AcnhBAiJqyaNaYJSzAcxKyZY3b8WJCEJQqr1cSJsp+hqpWsWP5fvRrW6rpOOByWOYSEEGIKsWpWOgIdMTt+YUIh9Z31ZDgzYhbDWJOEJQqTqYP8vDnY7Mv77AWkqqr0DhJCiCnGqlnxhWLT6BZgZtJM3q15d0olLHKnjUJRNJJTZmMxJ9DQsBl3x5FYhySEECLGbJot5o1eYzl4XSxIwjJIiYlLSU/fhIJCU9NW/P7GWIckhBAiRkyqiaAejNnxg3oQyxSbeV4SliFyueaQmrqOjo4jtLfvxzCmVoYrhBAiMvZWLEs4zKo5po1+Y0ESlmFKTV2HzZZNXd1z+P1Taz4HIYQQxLRb8VQcrFQSlqtgtWaQlXU3XV3n8HhOxjocIYQQU8Qfyv6AVbPGOowxJQnLCEhKWo7Xey7WYQghhJgC/nL6LyxMX8iyrGWxDmVMScIyQlTVFusQhBBCTAH+sJ8ZSTNiHcaYk4RFCCGEmEDW5a3jQMOBWIcx5iRhGQGNjW+gKFqswxBCCDEFpDnSCOkhzrvPxzqUMSUj3UbRGLLyUtVxMm0N/W4TDAZYnX/9GEYlhBBiKluauZRtVdsoiC+IdShjRhKWKFSTi3V51zHTOXAblZca27g1LXFsghJCCDHlKSh4Q17sJnusQxkTUiU0QsxTsE+8EEJMZbEeGv+6nOvYUrEFb8gb0zjGiiQsURghnbaW6G8GSViEEEKMJVVR2Vi4kb31e2MdypiQhCWKdL9BxclmmttjNyunEEII0Rezap4yU8RIwhKFalK5tTSD3x+sGvBNMTXeLkIIIS6K5dD8F7X72wnpoViHMSYkYRkEs6aSGW/jtSO1sQ5FCCGE6KYpGp2hzpjOHD1Wriphefzxx1EUhUceeaR72c9+9jPWrl1LfHw8iqLQ1tYWdT//8i//gqIoPX5KS0uvJrQRczF/vnN+Nk6LiZrmzpjGI4QQQlwUZ4ljY8FG3qx4M9ahjLphJyx79uzhpz/9KfPnz++xvKuri02bNvHVr351SPubM2cOtbW13T/bt28fbmijQlNVVs1M593y5liHIoQQYhyIdS+hi8yaeUp0bR7WOCwej4cHHniAJ598ku985zs91l0sbXnrrbeGFojJRGZm5nDCGVMzExycbe6kOMXZY3nsazKFEEKMpfHQhuWiYDjItqptLEpfhMviinU4o2JYJSwPPfQQt956Kxs2bBixQE6dOkV2djbFxcU88MADVFRU9Lut3+/H7Xb3+Bk1V7wf55akcLyidfSOJ4QQYkIYLyUsAOsL1rM6ZzUHGw/GOpRRM+SE5emnn2bfvn089thjIxbE8uXL+eUvf8nmzZv5yU9+Qnl5OatXr6ajo6PP7R977DESEhK6f/Ly8kYslmgURSFoGByubedQR9eYHVcIIYSYyoZUJVRZWcnDDz/M66+/js028FD1Q3HzzTd3/3v+/PksX76cgoIC/vCHP/CJT3yi1/Zf+cpXePTRR7sfu93uUUta1GAD4Z1PE0iazsXOyzeGDQ6d7qBtzSbUI38iZI0nAQXaXDBt3ajEIYQQYnxRUDAMA2WcDBzqDrh7VAd5Ah7iLHExjGhkDSlh2bt3Lw0NDSxevLh7WTgcZtu2bfzoRz/C7/ejaVc/a3FiYiIzZszg9OnTfa63Wq1YrdarPs5gKGYTlpU3Q+bc7mUWYOWJl6F5J+TNhtwlkRWn3xiTmIQQQsSeSTURMkKYFXOsQwHAZXFR46nB7XfTGewkxZ5Ck7eJhWkLyYrLinV4V21ICcv69es5fPhwj2UPPvggpaWlfPnLXx6RZAUijXrPnDnDxz72sRHZ36iYsQkCHrA4o28rhBBi0rFqVgLhAGZ1fCQsqqJyc9HNGIZBSA9h1syE9TDvVL+D0+Ik3hIf6xCvypASFpfLxdy5c3ssczqdpKSkdC+vq6ujrq6uu3Tk8OHDuFwu8vPzSU5OBiKJz913381nP/tZAL74xS9y++23U1BQQE1NDd/4xjfQNI0Pf/jDV32CI6OPhlWqCraJ/eILIYQYPotmwR/24zSPry+uiqJg1iJJlKZqzE2dS1VHFbNTZsc4sqsz4iPdPvHEEyxatIhPfvKTAKxZs4ZFixbx/PPPd29z5swZmpqauh9XVVXx4Q9/mJkzZ/KhD32IlJQUdu3aRVpa2kiHN3TjpG5SCCHE+HKxhGW8S7Wn4g64OdBwINahXBXFmASzJrndbhISEmhvbyc+foRLPTrqoLMRMudF3/b0G1Aycl29hRBCjF+VHZXohk5BfEGsQ4lKN3S2VW1jbd7aWIfSw1Du38MaOG5K0SyceuslTPG7uxcpCni7fMxaUNqztkgKY4QQYsqwalba/G2xDmNQLiZXWyu2RqbAQeH6vOvpCHSwrWob89Pmk+cauyFChkMSligMexLm0hspXLikx/LyA3uhZEk/zxJCCDHZTZQqIYCC+AJcFhdJ1iQURaHJ28SbFW/SFeri1qJbeaf6nR4JiyfgwaSasJlGbgiTqyUJSxSGoaOovXs/ed3tBAN+zJax6V4thBBifDGrZvxhf6zDGLRkW3L3v1PtqVyTeQ0m1YSiRMaTqeus43jzcUxqJDUIG+FxVYU04o1uJxtD11G13pcpd/Y82uvrYhCREEKI8cCiWSZMCUtfXBZX96SJizMW0+xrZl3+OhalL2J17mo0ZWSGKhkpkrBEoYfDKGrvy+RKScXT3NTHM4QQQkwFJtWEbuixDmNEuCwu5qTMASDOEkdXsAuH2RHjqHqSKqEo9LCO2seAeIqi4Pd6KT+wFwXImDYdu0vGZRFCCDHxdQQ6sGnjp/0KSAlLVLoeRu2jDQvAzJWrKFq4hLy583njv3+MrofHODohhBBi5GU4M2j1t7KzZifjZfQTSViiMMJhlChTDmgmM4tuvp1Al3eMohJCCCFG16qcVcxImsGhpkOxDgWQhCWqoN9HyB+9Fbi/sxOrY3zV9wkhhBBXI8WeQquvNdZhAJKwRKWZLVjs9qjb6aFQn41zhRBCiIksPz5/XAzrL3fYKC72T++PYRjo4TCaZXzM1imEEEKMpOKEYtwBNyE9FNM4pJdQFJ0WO385uZe0yuruZe2hMNcnubofK5pGSs74HtJYCCHEyDMYHw1SR5Nu6HQEOmI+LoskLFEYmsa1117HnLhL1UJbm90UpkgXZiGEEJPTxZqFI01HaPA2sC5vHYoS2wnzJGGJYvLnzkIIIYZLmYSz3r5b/S46kQHxShJLmJc2L8YRRUjCEkVA1+kMyfgqQgghpoaQEWJN7ppYh9GLJCxRWFWVONP4mk9BCCGEGGmBcIC99XuZljgt1qH0SRIWIYQQYop7v+59QkaIGUkzSLGnxDqcPknCMkRd4ckx0ZUQQghxkUk1UeQqGrfJCsg4LINyecPbP9W3YFYnXyMrIYQQU1O7v51Gb+O4TlZAEpaorkxNcqwWVl02BosQQggxUXkCHnbV7mJD/oZYhxKVJCxDFB4ns1YKIYQQVyOkh9hWtY2bCm6K+RgrgyEJyxCc7vKRb7fGOgwhhBDiqu2p28PavLUTIlkBSViG5HSnn5lOW6zDEEIIIa6aP+zHYXbEOoxBk15CUfgCrfz2xEvkxeXS6D7MdQmfxGWRNixCCCEmroauBjKdmbEOY0gkYYnCYVL5q2kr8QQ85OR9WJIVIYQQ3QLhQKxDGJbTbadZlrks1mEMiSQsg9AR6KDGU8PSzKWxDkUIIcQ4oBs6L5x5gTxX3ojszzAM3AE3DV0NNPuaCeuRKWFafC3cVnzbiLYz8Ya8NHQ1xHz25aGShCUKI6DyzuYjPLD+nliHIoQQIsaONh3leMtxOoOd3FhwI9lx2QNubxgGbf42Gr2NNHub0Q0do49pdRUU4i3xpDnSKEwoxKyaAdhevX3EG8W+X/c+txffPmEa214kCUsUTiWODy25HV9bEEYmkRZCCDEB1XfWU9tZy7LMZbgDbs65z1HeXt5nAnKRgkKiNZFUeyrFCcWY1Njfdg0MNHVila6AJCxRmQ0D9WQryYvTYh2KEEKIGDJr5u6GqrlxucRZ4sZFAjJVyJWOQtFChNqPY5gdQGKswxFCCBEjybZkkm3JsQ7jqk3UhsIyDksUusWHus5Hu7o71qEIIYSYQnwhH1Zt5AcrnWiNbS+ShCWKxk47//GuDVWz4vPVxDocIYQQU8R593kK4gtGdJ/t/nYSrAkjus+xIglLFBaTxk1zpnOmScNmG7g1uBBCCDFSGr2NpNlHtv3kwcaDLExfOKL7HCvShiUKRQGtLUhzm5Mu/z70zi6MgJ+41atRLJZYhyeEEGISG42ux6oyMcsqJGGJIj7oJbf6JPFLl2DNSUd1Ouh6bw9GKCQJixBCiAnDE/AQZ46LdRjDNjHTrDGkhkNMWzSbvJlFaHFO9M4uQvV1qI6JM2GUEEII8V7de8xLmxfrMIZNEpYojEAAvbOz+3EkaenE/corMYxKCCHEZGYYBgojVx10rPkYhfGXRtCdiCRhiUKxWFDjehahJd53n1QHCSGEGDUNXQ2kOUauwW1jVyPFicUjtr9YkIRlGBRVRTFP3CxVCCHE+HbOfW7EBqk723aWwoTCEdlXLEmj22FSzGbCbW1oiYmxDkUIIcQksyh9Eceaj3Gi5QQQqSKymWxMT5xOoi1x0PsJ62FOtp1kU+GmUYp07EjCMkzW6dMJVFZhl4RFCCHECLNoll7jpXQFuzh49idYrHksKfzQoPbzTvU7rMlZMwoRjj2pEhomU2oqwarKWIchhBBiirCqMDP9Wtze6KOuB8NBXjv3GiWJJTjMk6NXq5SwRKFqQYLbfkvoUCZ0tUDJ+gtrDCzFE7sBkxBCiImjrX0fSYnXkNLl5nzz+xSkLO132z31e1iWuWxI1UfjnSQsUagmFdcd94HZDooKKdNiHZIQQogpyDBCqKqV+TkbefP49/tMWFp9reyt30tRQtGkSlZAqoSiC/sh6IXGExCfE+tohBBCCMymeDr9TT2WGYbBrtpdrM9fz7TEyfflWhKWaFRzpHRl+kYo3xbraIQQQkxVhtH9z2VFD7D33NM9Vpe1lrEofdFYRzVmJGGJ5uIkUSYLBLvA0xDbeIQQQkw5Xm8Fdnte92OryUZID6HrIQDeO/sbDp99Aq3rCHX1f4lVmKNK2rBEoyjAhax2zl1w/EWYdVssIxJCCDHFBINtPRIWgKVFD/DKkW8TDnVSnLmRm2c9TDjsxmKkxCjK0SUJS1RXzOVgssUmDCGEEFOW11uJyzW3x7J4WxrTM26kMGUJJlWjufktLNYMEhImZ7WQVAkNxmX1higKtMn4K0IIIcaGYYQxmeJRlN637BkZq9AUg4aGV0hJWUdC/IIYRDg2pIQlCkMzc/DkLpS6CgA6wzpLz/0Sy7qvgCaXTwghxOjyeE72qg66XGvbe2Rk3N5nQjOZyB03ipA1Ac+CB1iV5AKgMxRmr2cDKyVZEUIIMcqCQTdeXwXpaRv73cYwwpM+WQGpEooqYOiYlUvtWJwmja6wHsOIhBBCTBWKoqCg8cq5t6jqqO613uutwmbNjkFkY0+KCaII6gZmNZKw/Lm+lbZgqPuxEEIIMZpMJhdpaRswKe2Ue86zs/EMqVYn12ctQlEUWlt3kp39wViHOSYkYYmiM6wT0iONbu/JSOKPdS3ckZ4Y26CEEEJMKYqisDprPgA1nkb+eG47hH3cXXhjjCMbO1dVJfT444+jKAqPPPJI97Kf/exnrF27lvj4eBRFoa2tbVD7+q//+i8KCwux2WwsX76c995772pCGzGaomDXLl0ml0njvfbOGEYkhBBiKvGFdWyXleybLYlYnPO4rXgDZnNi7AIbY8NOWPbs2cNPf/pT5s+f32N5V1cXmzZt4qtf/eqg9/X73/+eRx99lG984xvs27ePBQsWsHHjRhoaYj+qrAqol7Vhme+y0x4Kxy4gIYQQU8qhji7muxwYhsHrTe2Udfq4KyMJhza1mqEO62w9Hg8PPPAATz75JElJST3WPfLII/zTP/0TK1asGPT+vve97/HJT36SBx98kNmzZ/PEE0/gcDj4xS9+MZzwRpxhGBz3eHm5sY13Wz20BEOxDkkIIcQkZxgG21s7aA+F0RR4tqGNlYlx3b1Wp5phJSwPPfQQt956Kxs2bLjqAAKBAHv37u2xL1VV2bBhAzt37uzzOX6/H7fb3eNntChKZGB+HVga7+SWtEQ+lp06ascTQggh6vxB/tLQxrw4O3Nddt5s7uDO9ETiTFqsQ4uZITe6ffrpp9m3bx979uwZkQCampoIh8NkZGT0WJ6RkcGJEyf6fM5jjz3GN7/5zRE5fjQmA363txKr1cSieAdWA+ZkJ5CX7BiT4wshhJh63mvzMM0I0uwPUhEIcrt09hhawlJZWcnDDz/M66+/js0Wuzl1vvKVr/Doo492P3a73eTl9T8K4NWwKSr3FKZxTWEyALpu8PbJRklYhBBCjIq/NLRyvraWZgVM5ef52MprYh3SuDCkhGXv3r00NDSwePHi7mXhcJht27bxox/9CL/fj6YNrbgqNTUVTdOor6/vsby+vp7MzMw+n2O1WrFarUM6znDphnHl9IcYGH1uK4QQQlwtl6bxqdkl/P7EGZanJMQ6nHFjSG1Y1q9fz+HDhzlw4ED3z9KlS3nggQc4cODAkJMVAIvFwpIlS9iyZUv3Ml3X2bJlCytXrhzy/kaabhgoSs+UxaROrZbZQgghxo5TUwmpGiFdJxwOU3HkSKxDGheGVMLicrmYO7fn9NZOp5OUlJTu5XV1ddTV1XH69GkADh8+jMvlIj8/n+TkSLXK+vXrufvuu/nsZz8LwKOPPspf/dVfsXTpUpYtW8YPfvADOjs7efDBB6/6BK+WbsDlA9uqqiLlK0IIIUbNnDg7Rz1eMmxWEtJTcH/n2/C978U6rJgb8ZFun3jiiR4NYtesWQPAU089xV//9V8DcObMGZqamrq3ue+++2hsbOTrX/86dXV1LFy4kM2bN/dqiBsLRh8lLM0eP68drcMbDHPnwpwYRSaEEGIyijNpdIZ15iXEseepX7J206ZYhzQuKIZhTPgCA7fbTUJCAu3t7cTHx4/ovls7A1S2djE/N7HXuq1lDaybmT6ixxNCCDG1GYbBu8+/jOaws2z9WvSWFgLnz+NYsiTWoY24ody/pTFGFLph9BjpVgghhBhN4dZW5tnNrLjxBlRVxZSaSrijI9ZhxZwkLFHoA5Q/JdrNtHQGxi4YIYQQk54pORnFZO5+HOzq4uTbW3G3tMYwqtiThCUKY4ASlvm5iRysahvbgIQQQkx61mnF+I4fxzAMjvziZ+xZexOvTvEvyJKwRKEb0F8vZk1VmARNgIQQQowzloICwu1uDv/nD5h29weYmZXB/soqdh8+HOvQYmbEewlNNr5gmE5//7Mzu2xm3L4g8TZzv9sIIYQQQ+VcsRxL2Ed8Ti7rgNz4emzN9fi7OrE6nLEOb8xJwhKF09zJG6d3UNOYAN0jsCjd/9YNSNZ8xOfdGqsQhRBCTFJWh7N7eI3pmRl44xy01FSRVTIz1qGNOUlYooi3wX3LZ+GKK+13m+bmbWMYkRBCiKkiOSeXluoqUnIj8+XZHE78Hk+Mo4oNacMyGNJORQghxBgzdIOGCoUzew8SCoUAUFSVznY34VD/TRUmK0lYopIxWIQQQowtwzAoe6+OlOw4cmYtZccfXscwDBor6mg476HqxNTr4ixVQoMiJSxCCCHGTt1ZN/mzU3DEWwAnNsdCdv55K/Y4GzOWzSEYhHBYR9OmTrmDJCzDEAp1YDK5Yh2GEEKISaq52kNG0aWh6lNys7g2N6v7cdWJFkIBHc0+dRKWqXOmw9XHoHH19S9RW/vnGAQjhBBiKihdmcnpvfX4u4K91oVDOsGAjtU+tcocptbZDoM3rLO9/E8k2LZhXKgaUi25GIafUyd/AkCb38MdKWtiGaYQQohJxGTWmL40g0PvniYx3UnB9Gyaqz14Wv24m7xMWzz1Jt6VhCWKEColuR+kNLn/bs07qneMYURCCCGmgvr6epLyrDTXtNHe2kGCI5WCuSnd47JMNVIlNAIMaZQrhBBiBFVXVxMOh8nPz2fRitnEJdjZ/94RvB2BKZmsgCQsQgghxLhy+vQJVFUlJyene1nxzHxW3TqP9945GMPIYksSliiC4SDekDfWYQghhJgCWtv20N7+Ch2eA73W2eOsFMxOG/ugxglJWKLQVA2LZulz3cWZmhUZXE4IIcRVamndidWSypIlXyAUDOJ2V/dYf/78eQoKCmIUXexJo9soVEVFU7Reyze/8zTupkbChHFNL4CcPp4shBBCDEJz8zs4HAXY7fkA5OQuprz8LRYseAAAn8+Hw+GYsu1XQBKWQTMMg1e3PU1rawMuezzxiWlsuvt+dF1n2xt/hLmxjlAIIcRE1ND4KvGuedhs2d3LEuJzSU4uobx8O0VFq6iuriYvLy+GUcaeJCxRqAGD3a8+S0VGISabhftu/yytHU2kJGZE1qsqhenTYhylEEKIiUpT7T2SlYvy8paz/8CvOH8+D7PZjMXSd/OEqUISliishomVpTcQX5BDZnIuQHeyIoQQQlwtRQ+j6yFUNXJLDoU60PUAFksKAX8AVVWnfOkKSKPbQUlMSutOVoQQQogRo+tYj76Gr+VQ96Lmlnfw+appatpKekYCubly/wEpYRFCCCFiwzDg2HM4l3+Z+mP/D3vKIgwjgNmUQHz8fABSU2Mc4zgiCYsQQggRC6deg2nrwJ5IUv5dtJz8BcHEdFJT1sU6snFJqoSiCAeDBLxdsQ5DCCHEZOOuBmsCAJa0BZj8XtJSb8JkiotxYOOTJCxRaGYzFrtjwG1kJiEhhBBDNuduOH9p8tyE9OvR2qpiGND4JlVCUSiKSsPOMhKSM7DGO2MdjhBCiMnCngS+dlrb3Zza9SJqyIuz5SizPva9WEc2LknCEoVVs1O8bDkNe8vwt3RScu/qWIckhBBisshbhlrxHqkpKRQv3cjWEw3MinVM45RUCQ2CyWYhb91iUqYVcOrdd3E3NXavM3SdUMAfw+iEEEJMWHHpxCl+Oj0dAATCeowDGr+khGUI7E4XJfNWUFV2lJaqikjbFcMgf+6CWIcmhBBigtJSS+g88hb/+a2dfPBzcj/pjyQsQ6EbKJpK3ux5sY5ECCHEZJE2k/ONjaxbl09m0sCdPKYyqRIaAsWqofvDsQ5DCCHEJFOYF6CxvDbWYYxrkrAMge4Lo5jlkgkhhBg5hmFwXjmOo+R8rEMZ1+TuOwT+022EOwKxDkMIIcQkoigKK4w0pjebqGwpRzek4W1fpA3LELhW5xD2BCHBGutQhBBCTBLHm4/TtvkvtPlayc5/hApvDdflXBfrsMYdSViGQI2zEKjrjHUYQgghJomQHqK8vZy1//cJFMIcbj5OafKMWIc1LknCMgSKpsg4/EIIIUZM48mXSTn/Nqcq9xIX9JNRuJoUe0qswxqXJGERQgghxlooAAd/R5bfQ9aGxwkbcP7t31BQsjHWkY1bkrAMgvdILb5TCsFzJ1GTc7GXJsc6JCGEEBNVOATv/QyWfQp8bZw/fZTm8kNUp6yhONaxjWPSSygKA4NA+SkCJ7aQ9JEN6B3tBBuaYh2WEEKIiUrVIL0UTBZwpNJ4cjeLN32chdOyOVHnjnV045YkLFGoJgPnkjRSP/13qBYLKQ+sxrtvb6zDEkIIMVEpChgGlG+jauczZC67F4C8ZAd17b4YBzd+ScISheHzoVh7dmO2L15E586dMYpICCHEhOdthcz5GLNux6dE7jEVzV0oihLjwMYvSViiMEIhFFPPpj7m9HRCDQ2EWlroev99Qs3NMYpOCCHEhDT/Q2BP5Eh1O6lxkYTlaE07189Ii3Fg45ckLNEYRqT47grxt95K544ddO7cRahJ2rQIIYQYupvmZPJWWSOVdW7OHmoiHJZRbvsjCUsURiCA3tl7sDjFZCL+lltIvO9D6B0dMYhMCCHERKepCtNzO/jPza9y2+pUmqs8sQ5p3JKEJQrFYkF1Ovtep2mY0tLQvdJISgghxNDohs7Wiq3YzGZump5LU0cLXk8w1mGNW5KwRHOxNXe/qxVk+FshhBBD4Qv5+N3x37E8aznTEqexasliyhsq8DukxL4/MnBcNIqCMUDCIoQQQgyVzWQj15WLw+yIPLZZmTYnk7T4BABa6zr53b/sRtUga0YC89bkUTg/FU2buuUMU/fMB0sZzPxB0g1NCCHE0JhVM4FwoPvxwrSF7KzZSZuvjZf/6xAACzbk09XuZ/NPj/DM4+8RCoZjFW7MSQlLFDoqZ7Yex3y0iUhiYqAoCooC6WkKmqage6QITwghxNAszVzK+/Xvc232tUCkicE18Yt55ZU/snLjjbzy2zMUzk3h2rtLqDnVxnM/2Meuv5xm1Qdmxjjy2JCEJYqw2UHGnRtJy3d1L9N1g9N764lfkoGiSumKEEKIobNq1u4SlrAeZv+ud7GYLdx/1ycIh3Qsz5Sz9VdHeOA7q8menoizxGD/GxXYV3hZkrswtsHHgCQsURgGvWp8VFXBajdLsiKEEOKqFCUUse3gFizNMGfpUlwX2rBoJpVp/oOc8JYS9vlp7vLQeLaT2uQzPPvOCzxz1zOk2FNiHP3YkjYsURiG0Wuo5HBYJxySwX2EEEJcnYL4AqZ15LB87Q3dyQpA85M/x7F3M4Zq5rkv/IH/fWwrqq7x4b9dR1Ogia2VW2MYdWxcVcLy+OOPoygKjzzySPcyn8/HQw89REpKCnFxcdx7773U19cPuJ+//uu/vtAu5NLPpk2bria0ERMK6AT9VzRy0pGeQ0IIIUZE+sx8Qg1d3Y/bnn2Wxu/9X4of2MTC7Hqa/fGYOpJJuz7I0uKFuEwu2vxtsQs4RoZdJbRnzx5++tOfMn/+/B7Lv/CFL/DSSy/xzDPPkJCQwGc/+1nuueceduzYMeD+Nm3axFNPPdX92HrFhIOxYjKrmK1aj2WaWUWdwl3LhBBCjJxQfRf2uakAtP7xj9T989dJuOcDpD38eRzuFvSNG6jPm8vd9/4SALtmpyvYNcAeJ6dh3XU9Hg8PPPAATz75JElJSd3L29vb+fnPf873vvc9brjhBpYsWcJTTz3Fu+++y65duwbcp9VqJTMzs/vn8v3GVD/NVDRN2q8IIYS4OrovRKjFh6EbuN98k7qv/TMJ936QrO98E0VReOGrDxDv8XHNtz6LpkW+PNs0G57A1BvCf1gJy0MPPcStt97Khg0beizfu3cvwWCwx/LS0lLy8/PZuXPngPt86623SE9PZ+bMmXzmM5+heVzNgNy7+sfT6qetYepluEIIIUaOajMRtzKb1me2UP33DxG37gayvvUNFFXlhWe+xrw3z7NtXRIFs5Z3P8dhckzJhGXIVUJPP/00+/btY8+ePb3W1dXVYbFYSExM7LE8IyODurq6fve5adMm7rnnHoqKijhz5gxf/epXufnmm9m5c2d3Rnk5v9+P3+/vfux2u4d6GlctvdBF/dl2EtMdY35sIYQQk4diVqn/xucAyPq376CoKkbAx5z//AsnU+HpBW4+3HKa1OQSABxmB52B3pPyTnZDKmGprKzk4Ycf5n/+53+w2WwjFsT999/PHXfcwbx587jrrrt48cUX2bNnD2+99Vaf2z/22GMkJCR0/+Tl5Y1YLH3pq32tyaKhmqQdixBCiKuX/9QvAGh+4gkAWr/xV/gbguR/4mbcZoVvvPhxwqEgb9Qc4nj7Sdr8U2/A0iHdcffu3UtDQwOLFy/GZDJhMpl4++23+eEPf4jJZCIjI4NAIEBbW1uP59XX15OZmTno4xQXF5Oamsrp06f7XP+Vr3yF9vb27p/KysqhnMaQXNml+SKfJ0hCmn3UjiuEEGLqcK5cSeL99+F5622CezfT8MIBkm6Yx+y//h7fL/kI24wObvvDRr7w+gN0hTo45Zt6Q2sMqUpo/fr1HD58uMeyBx98kNLSUr785S+Tl5eH2Wxmy5Yt3HvvvQCUlZVRUVHBypUrB32cqqoqmpubycrK6nO91Wods15EplA7ofeeoeFkz1gUI1ItxMWc6uIAc7oOiXmQPmtM4hNCCDE52Epn0fb076n8wpfRrBppj/83AGtX/COZJ35NFY2olnyakj/DsrTC2AYbA0NKWFwuF3Pnzu2xzOl0kpKS0r38E5/4BI8++ijJycnEx8fzuc99jpUrV7JixYru55SWlvLYY49x99134/F4+OY3v8m9995LZmYmZ86c4Utf+hIlJSVs3LhxBE7x6lhsGlnLl0PuksE9Yc/PIXvR6AYlhBBi0jFlpAPgbwiQ848fQYtP4OTpXcz47UaeNJl4Mm0WX/3Ic8zYfpTr0jNiHO3YG/Gh+b///e+jqir33nsvfr+fjRs38uMf/7jHNmVlZbS3twOgaRqHDh3iV7/6FW1tbWRnZ3PTTTfx7W9/e3yMxWK2Q8g7+O1TSkAzj148QgghJqW4tWvJ3JRGsOIsrvanofPv6Xr9OwA0Fd3Ltz78E1pCOmEg0zr17jOKMQmGbHW73SQkJNDe3k58fPzI7twwCOx4GcuqWwe3ff1R8DTAtHUjG4cQQoipoXwb/Or27oeHM9cw79MvAHCwo4uN75/kL4tKWJ4YF6sIR8xQ7t/SzSUaRaHrvAP/++8NbnvDgNTpoxuTEEKISaut/dJ0Ns8Wf4TST/yJUDjMnrOHqTz7HmbgiGcIJf+ThMzWPAi2axYSOroN69JBbGyyQcUumPeBUY9LCCHE5LPXWoCRvIJ/L3yQg65Sfr33NIc97Xg0O5AIwJH2LsiNaZhjTkpYBskyexrBshPRN0zIBUUuqxBCiOFZP2sZ1z70Cn+z9EbmWi3s7vJdSFYuqer0xSi62JE76yCZZ84lVBUZ78UIhjACl0baxTDAXQNn34IDv4W00tgEKYQQYlJwaCr3ZafwhvEG5e/cxOu2w9StXcAz6ZEB43Z7ZGh+cYXL2yQrFiudf/wjamIihs+H47bboPkM1B+B5GmQfy0Ur41dsEIIISYPdw28+S2sSz7OvJUfA2D1nNV8p+kZ3Ge24f3NY2gffAqLzUUo1EEg0ILDURDjoEePJCxDYFu9Br2lGTU5hdDZU/i3vYo1PQyz74x1aEIIISabn14P4RBc/2UA6suP4khM42/XfIDG1p3YD7zOd1/7ObMKAjibf4mBn5ysjzOz9J9RJmHTBElYojHACF0aAllNTgHAVDydYIcFZubHKjIhhBCTVf1R6GyI/NueCPXHyPjVtdQYydR86PfEnXiJA66Z/KfzOkLNKq/ngtPs5Gz59/F4TrFw0ROYTBO/2/PlJl8KNtKMCz99UOzx0M9cQ0IIIcSwZcyB1f8Q+fev74SfrMRj2DChM/OZG8nx1WG98ZtkqU0owPTiRygqeogF85+kvWM3NbV/imn4o0ESlmgUUCz9XKaJP+aeEEKI8Wr912H1P0LFTgA+GPgGj2T/kEYjnmOOGViSA1QZ6awwl2M1WQBITV1HvHMptdUvxjLyUSFVQsPkPVFB57tHsc28OdahCCGEmKzWfw0jLo2f7WnleFUBlMOKjP9mrtlK9p7N6In3U78/wKa921iYa+feJflYbAU0NT9DINCOxZIQ6zMYMZKwDIIR1nG/sR8MnXC7B90bxJKfgmN+GmG3G22kpwMQQgghLvhF8CYerzpCYfx5zoaK8c1Noy4Iaxx3gwHXz7fjqzjHc/udbD12mH9c+ipJNjh5ci9z594Q6/BHjCQs0SjQ+r9/JOnDG1E0E5biRaCAqqoY4TCd27cTd/31sY5SCCHEJPTa0Tq+/eIx7py2mTumbeZgx508H/+3nOgK0JCZjb2mgqOVZzl4rJQZyXWcbMnki9u+w98lv44zrYG5c2N9BiNH2rBEEw6TsHEe9tJCbNNzUTUVVY1cNkXTMHQ9yg6EEEKIoatp8/Kp3+xlRtIp7pi2GYBs7wGeLEqn0GbmV7XNeA0HB49FBit94t5rmJ7UDsDLbUtpOneCx185wSSY4xiQhCU6XQe1/8ukd3aNYTBCCCGmiucP1gDw5Wv+s3tZefliDlVVkVAbGXkdVeFLmTuxEeDTv3iPDxQ6AKjUk0hW3Tzx9hm+/8apMY99NEjCEoVhGP3ODeQ9eBDHNYOZEVEIIYQYvHdONfLdzSfYOCeDM/rP8PsdnCxbSVPOEj7fHOJgUiYzTx/mn//8TR5s+Qm/W1xJs+Hisf1mAL7kepW/N37Nv62y8MMtp3jxUE2Mz+jqSRuWaHQdReudsBi6TqipCfuCBTEISgghxGTV5PHz8NMHWDU9je/dm0W42sDb+Rueaz3NK2kFhE0m1r37MvPPHuX+b/0X5568nQVHv8nW9U9gzJpBfEYxBFehPP4r7n//Pg6UPs8/PnOI+TmJ5Kc4Yn16wyYJSzT9VAl17tyJY/mKGAQkhBBiMvuX549i0w2+d888du2KtJrN+nszN3zhC+xRrRQ2VLL00Ltc++Df89JvX6SG23jI8g7x7/wtvvfmUGMpJKV9GzYVgrqVVRUt7LLH8dVnD/ObTyxDmaADnkrCEkWkSqjni6v7fBAOo8U5YxSVEEKIyWjnmWZeOVTLq3HJHPmPF+FCr+SOtGyqt7/BRwNeAGzZeRhdNs56a7hn9W3ErfxH/I9vwOY/Spy3hYa0e7AuuRcjYwFn/++7JM/+b/bWl/LKkXxumZcVwzMcPklYogmHUa4oYel8913i1qyJUUBCCCEmI8Mw+O7m42whnrPeCs6VPM3FuZfPp92C01qG1+FAb2umIS2O1w5tY5ozh3nXL6Gtwk27///Dl9jJzC9vIuGy+9bPl0cmTzS5DvPtt1Vumv1VTH00dRjvJl7EY8y4okoo1NyMlpCAYpJcTwghxMjZeaaZjsoOTEB2OJnqqtl4PEkcfeVrMCMfX+4MvJkltK+cixJwkq4nMNOfTvXXdtD5s8OcURsxbirt9SX7+4v+q/vfHXHP8Iv33h3jMxsZcteN5opeQl379uHasCGGAQkhhJiMfrGjnIetTvBDHDY+0HU9vzrRyeFpP+YH5/6NGT47WyxHCbTZ8GpebvPdgBqINFkwMHjHegReOIL2vAWH6gLDRBgvXr2T65zXsSNzB4qi8+cdX+VTK7fF+GyHTkpYotF1Dvzvjzi2ZzNnHv8m1qKiCdtgSQghxPhU2+5l2/EGFvkVMEXuManKcR7rfIofn26gruMU5qCKIy2ReTfP45Of/CRl02ppM3Xw4Zn/wqOz/kDuomUAhJUAmBR0xYfD7iIlLpFpwTxmtM0AYM5ZMzt3H4zZuQ6XJCxRGKpKsCSXxv272L8kEWtJSaxDEkIIMcm8cLCGf1DskQehyMi0z1uDKArs68xnX6CBrR6NY/VtWJyNlGSWcOMn7+P/rT9Bq9rEJ2/8NH975y0suOeD6Ch0BJtITYKWjvM0dTXTGQywvGUW/5b8NVJbEtn+4sSbzVmqhKLwxplIuO02FqQt4O3Kt2MdjhBCiEnovX01/Ith7rHsCe9MnjL9jPvNYDLSaNHCvJ92kO17j7Gn7i2un/5pdlb+jmlZt3NTdqT7813zZtO15y0SMltobsohtb2I5evuZ86SpTSeq+fs/nNYrfmETh1E1/XuqWYmAklYonD73ehGZL4gVVEJ6SFMqlw2IYQQI6Opw8cn6nT8NhNWn05nyM0p9/ssCzby3G0PcOpoiBk1QVbMfp6nmlbjTDzCs9VHebb6c6BY+K/r/qF7X+++82UyiyoAyM0sw/WTTnZVB9n1253d2xi+U2jAgUNlLF44a6xPd9gmTmoVIxbNgsMUGRlwccZi9jfsj3FEQgghJpPf/ukoH7shnmPXpNKR14nTFE+GrZDirnNsOLQZPVzD+r0Pc2Pjr7k3UM6dWQu7n+tO+RTvtId58vT7lDfVEHhjS/c6zQ2a79IEvcXza/G1fi+yTtF5/7WJVS0kRQVRKFxqYOs0O6ntrGV79XZW5ayKYVRCCCEmupcO1bK3uo0n81SCqsLnlS5+1OFiAToGkXYsdp+Xa07+ibgkNwAfS34ZVb2LjJIEAu7d/I81hy+UVQEmrv3IjWS6dRoLVIJFOqpbwe5roiK9mdr0VtROM770PFaZ93N9/HG6PHug4XZIL43hVRg8KWGJQlGU7jcOwB3T7iDDkcGW81sGeJYQQggxsP/ZfZ5fvH0WV8WXSa3/ERkdbj6/2I5fhdPu/aDYqZp2D8UtHh6/aSWGAUedi6lXn2a2/xUWWluYdXI31vOHUMJuChY1ApD27ybSXkyh6kw+f7zhZn61bjqvzVnGLluAYEoGlY4ZPLM3k93Ndvjxcv78v8+wY8eOGF+N6CRhGQTDMHo8np40XdqxCCGEuCozMlxojjNoai2KfzcN6lbiO1t4o+JJ6vyVgMGKMh/Z136ZLpvBz1J/x678z2Fq+BsAnq+9nR3nVmBpOEpy9Rf54id+Tul9NSRN92AcaSdhfxIl0z5AXmekWuh4bjEfufsuMt+t5lsfsPD5ZQl8NzmRN5oqeWHrW5w4cSKGVyM6SViiuLxK6HKZzkxqPBN/um4hhBBjr6HDxy/fPUeefR4hb2R8lKB3JqtOH6KTDgw9gKImk+rVsRgqtzrNJOkGnedqST+yGm3HL/l91l+h2zUU1Y8WtvLjpbfy1PQ1tJ6Ko96fyZ70ZaxpDFPsCZMeamC1/iqnPvtprO7G7jh+kxCPP2yh0ZXIv728nb8cqI7VJYlKEpZBuLxK6KLixGIqOypjEI0QQoiJTrswAGlbV5AC97V0nPgmtzgPMlM7zo2f/OqFrXQU3aDZX4OmHuL4if+h6OhmjnCK17Ms5DY2owR1isI7+OKzzWxbuoo390b2+8a1q1g6cxUB4G/TP8z3tc+Q/YcTnMhO5Ux6Yo9YEr2dKIqZOYe28+R/PUNFXcfYXYghkHqNKPob1dasmgnpoTGORgghxGSQEmfld59czkee3E2bt5S1ue/wobhniFc+wdnfvACAyX4dQUNnT9tWvDVzmOXP5ZxewYm0Wt5MyeS+p3/CsfS5fOmPHgB+M2slCaGNbF7r5jMJX8fuzifEbMzBBMqOrgZOA7BjwbWQ5GRt1X4+Ys6m3pOFd8cfMHnbUZODvPGzEv7m67fF6tL0S0pYBqGvEpaBlgshhBDRJDksAKTZG7mr5BUcjfPIql/N9PjFAAQ6X6LD8hrn8tKo0Wdhz5gLzoW4wuncUfEa4bzlzGk4jCUlCEBdZiGzgya0QCM7PUW4tM0A5Cb8HSeac9GsSwA4VDqbRtftxNUt5o3zebwVPkudTaciPZPTKSsobOhA18MxuCIDk4QlCk3R2P7+9h7LOoOdvHruVQriC/p5lhBCCNE/wzD42nNHAGj0ptFRtZKc/Y9w1H6a33ou9EJVFTpT4ihRK/mH8H9TZjlKSDmH40wL8cfvxOW5jvnpPqbd2Mi0D9Yzv6udYMfLBDtfwlrTioIfgCbTDDYv6OCltTfhSVpAq20fSleI50KLiG+aAxaD09PtnM1OYkaSidfU12N1WQYkCUsUTs1JmprGf7/63/gCPtxeN9/d812yndnkufJiHZ4QQogJ6PNPH2Dv+dbux++7w+w58DCHznyPvK7FmBzrsTo/yLyCI+SteQeLw4OaUE0gNYv8xjcpSz4HwFLfMY56f8V/nryWsG8XN+x/BYAabzwW9SQ/xsddHYm0pt3N4SInT92ai629GrxBfMuD7J73JG2WdppzgiwtOIO5aTP68hIUZfylB9KGJQpd11kyYwmJaYn86d0/QQc8tP4h0h3psQ5NCCHEBPXA8nxeOBjpaepQfPzd03tQ3AFmn4OOxe3ssS4AwFtxLRTs40BaFha1Fdzw+3W3UHD6Dc66amhMjiPBm4LTlEBnqJ1Gl52bD54hpCr8o+lu/pwT6HHcbzp/zxFTEb9J0kip+jZxeim3Kirp6cd5JpSP9dZcctIW8NLhWjbMysBm1sb60vRr/KVQ48zFyaESHAk8sPYBlkxfIsmKEEKIq7KiOIVHP72EwPwkWlfk8YfFyfjM4HFk4nNkkBV6Gz1Yhbuigpby5fxz+edxNs/lWN584gJVzDtXS1JHA5vC/4dDSojfpaxCU3QOFJnx2Cw0FF2LnrCB/zb/X35+9GsUdbby+fC/E//MEuadjcPuO0+2L43/U/0pDpoS2Fr+IYpSivjO7f/Ow9fdys1zs3jzREOsL1MPkrBEceVslpo2frJNIUbCmUZPrEMQYsrRDYN/K6/jOs3C/zsZ4sT8+/j4F03snL2KUFwWx+Pn0tn1CmE1n12nr6Ep7yk697/HR3O/zr3OOHy5K/DfZLAu6yCfXGQlkOwivOIoLckp1F9zN6Xz/oqbC3fSjg2lay8b33+bZT+uoca4lY6mu/m7l14jK5CKhsr0tpV8vHUTn7vmq2g/uwme/TSaAnlJDmrbvbG+VN0kYYlC1/V+uzYLMdGFwjq7zjazdZx9kxJislMVhd/MK+L7+71c2xzmH8uczK9eQ8qKcnLNKk9ZHPwq/6PkmmfTgps73t9ER8d0Pr/1/+PB5qUUJRTzoQNf5baifeipNnbxEEtb/5Fb1NtZlLIen+scdXPe4I/m83w5PYX7tj1N4NN1lC3+M8fi2kh3OtgTt5wO/AQME9+gC3b/DOoPw8H/hf2/ZV5uAker3bG+VN0kYRkESVjEZHWgso3b5mUzJzueV4/W9ZqGQggxetYnudgf8gFg1+JYef5OMmfv5FVbKyHgQcXKyngHLk8cptx2qq4xEZndTqHeOY3PJJ7ma+99gJ8FP84ObQlvKXVYkrvYlrSdT65QKPleFp/dkkTCmfVkLWpmT/0inj97My+ZrLimdXJbg4d/DIX4tuEldVY5BDsvBddRC4BJGz/3P2l0O0TygS4mE7cvSILDDJhZVpjMy4fruGVepiTpQowBVVNpdHbS1N7MwbYD5DVFxmXJjUtlhXKAWa//jj9edxuFtYc4m5fCl7pe4yVuBeDfC79Bh70NDfjHhmLmpd7BRvNmdmUd5MTeD3Ljmy08+uFzeDUfBd7t/Orgdbj2+sEG8WE3te8tId0ygzhbiBusDRyq70Jf8wHUg09DcjFc9zBHqtvJTrTH8Ar1JCUsQyQf5GKy0HWjx1xZSU4La2ak8vzBGkJhPYaRCTF1FH3kWv7Q2UGH9UYSlm6mrOpLfGaZk/dnzeNA4Vz+kL2X59bcyR2vHKeApu7nPdwQ+RvtCt1MwbF1pPj/h/fij/CbWgsff/Y5lm19gb9tuAebX6XaHGR2RjuuuLXcTohsw4q3azMKCgWOWuY355PvqsLIXwFfPMnxO1/mjZNteINhZmS4YnVpepESFiGmqCM17czNSeixzGUzs3FOJttPN6EbBilOK/NzEyRRF2KUFKc6+V1KFt/f6CIz6+u8EJwDjW185rffBcDQXTT50vjBdffzQttKsClMSyjnWceN/Lzmv/hVR5iHw/PZ1WQnfls1C+ynCVk6ODxtNvmn2vlQZy6GprKjZDHJpjOsUOt4iWtZo6rEpRxnWmoF+xJrKMyYiapaeL28jZL0ODbkOmN8ZXqThGUQLq8G0nX55ikmPsMwqGjpYn5uYq91NrPG2pmRrvuNHX62lkUa5OYlOZg+jr5tCTEZ5CTaMWsq7ZY0SkuX8bhu0PDtb3Wvn9mYzOPhrXwjmEOdaQbJoSYemfZjcBh85XQG91Rt4JeZ75Joaieg+MmtruB3axTa0lpIbZ7B/66sxKyF+XRVBw+G99NMAk+kFXFX1mHSfTs4eW4eq+5/jHNxebx0uJbVJWkXqonHH0lYBuHyb5fZ2dmUlZUxc+bMGEYkxNV543gDq0vSom6X5rJyQ2kGAOebO3nzRD2GAaVZ8eSMo7ptISYqk6ZSmhnP4Qu9ccyqwv35mZw4Flk/78h5HNNf5ZbWz5HrKuCw61+xJoZ4b9v9zLYeoDHxZa7VT9KWFMDltjGjroX8HRmkrfkrvEYXQfNv+F5dE6vCtRyklFOhQu5ue47q0lSqfdlcH9qLacFcZjscMbwKgyMJSxSGYfRIWFwuF/Hx8bS2tpKUlBTDyIQYnt1nmynNdA35W1RBipOCFCeGYXCiroOyOjcKCmkua6+qJSHE4C3IS2D32Zbux7c++He4HHns+fOPMTk28OWwjZnqdBYm/icLZlVgvL+EmTk7sZ/5COdy9vFfgZs4FLeC69fv484Du+k0hzESwXfOzGO/Xc625SHeMhVGdm6Bs6kvU131Ka5v20qb5iB9AiQrII1uowqHw4RCoR7LsrKyaGiQcSvExFPZ0oVJU8lLHv4HlKIozMqK54bSDNbOTMMXDLP9VFP0Jwoh+rSkIIlTDR6aPP7uZas/dDNZcR+isLGZv958lErtN9xpuoZDx2fz7TkLqWm+n+b4M3zX/Rs+YH+ShW3PkFXYxfYHMylIPIm/qhKA89M+gn4xWbng2poMZvjfJsnUxrspXxzLU70qkrBEoShKj5FuL/J7uzi8Z3cMIhJieIJhnSPV7SwpGLmSQUVRWFqYTHq8lcNV7SO2XyGmklUXqmcvT/wVRWFV+jFmnP4j/3qfxp/i76OtfTk/si/j5rPrWZN1gNVtXex880521Gm0lRSx4P15TH+6gKedn+Nu9buElRBhJUTpsSrasLBl5iJeL11CY4fGVsv7dDqa2fiZ62N12kMmCUsUqqp2Vwl1dXrYtXULb7/8AkZXJw5Vek6IiaO2zUdByui0/J+R4cIXClPR3DUq+xdiMktzWZmTHc8bx+t7LM9/7HE2L55JxskNYJhJo4U9nh9yY/DL/LrAxBLLM3SsaWBeTRoffuUwSc27WZOQxo111XyyIIMnV/wDr03/EbOPvs/smqOcyixg0fHj+E0+uhIdrPjIH7HbxmcD275IG5ZoDJ19O7bhiovDarExd8kS4hISASg/sDe2sQkxBDaLSod/9AY+vKYwmTeO1ZNgN4/bXgZCjFe3zc/m/205Sac/hNN66db8hd89R31HHfGvHcDx/AEogkBnC8+/vp6/TdjGLb5KPjK7mBWUcLJuOye79rIw83aWdqykKWEz51PKqU0OsbSlmX998j+YfeokX7rt77kxdxGJBbmxO+FhkBKWKDRg6eIlrNl0K8tvWN+drAgx0SQ5LJys76De7Ru1Y6yflc5bJxsIysBzQgzJ7Quy8AV1Xj5c22tdhiuT/3vvJv7m87fzbngWf+r4e8IKJLofoz7wE/7D00igo4zz+S5QNbYlRNqv5HZGEhKfRSV5xU188K8+TvDxH1PpTePuhYVjeXojQhKWKAxdBxk0S0wCZk3l7kW57DnXEn3jYVIUheVFKew4LY1whRiK3CQH189I41c7z/U7BUzRkrVc++1d5N62mkWalV2JkZmUX5k3k2s/mE1megnHF6WhqCYMRSdDzeClu1/izi1HKfzio8RvvIn/Pq8zLyeBuTnxY3l6I0KqhKK4slvz5SSNERORw6KN2r6DYZ0951q4fUH2qB1DiMnqb1YV8Ve/eI9dZ1tYOS2l3+0+fsMiPn7DpcefZjUA7734GLmBSKlKSdE0/s/9X8NisXRvV1bXwbaTjXz/vgUTcvRqKWGJZoCERTObCQUCYxyQEMO3+Ugd6S7bqO1/x+kmbpydMWr7F2IyWzM9lXk5Cfz7qyeGPNGu7/hxPm61Mi85lUULF/HARz/WI1kB+PdXy8hPdnDrvIn5hUISligUVe13OH6rMw5fp2eMIxJieKrbvBSmOkZtkDddNwiFDWzm0SvBEWIyUxSFL22ayb6KNl4+XDfo53m2byNceYK4667lzo/cz5133dlrOI6dZ5p543g9/3DTDCymiXnrv6qoH3/8cRRF4ZFHHule5vP5eOihh0hJSSEuLo57772X+vr6/ndCpNrl61//OllZWdjtdjZs2MCpU6euJrQRY/SRrJw/fIadz27h2PbjeCVfEROEy2bC4wtF33CY3jvXwrLi5FHbvxBTwaqSVG6ancE3nj9KW9fAJfgen5vgkT/DoT/Aqc2oTiem1NRe23kDYf7pz4dYVpjM7fMnZukKXEXCsmfPHn76058yf/78Hsu/8IUv8MILL/DMM8/w9ttvU1NTwz333DPgvr773e/ywx/+kCeeeILdu3fjdDrZuHEjPt/o9WYYrHAoiNftYf9rO9n57BZ2PrsFMFh593pW3H0TemgQzYDcNVC9F2TiRBFDVpNKYBR773h8IeIn0JgOQoxHiqLw7bvmEgiF+eIzh9D1vquGak+e5F9++UVeqX2XuA89gnPT/djnzeu1nWEYfP0vR6hr9/H4vfNQJ/D4YcNKWDweDw888ABPPvlkj/l02tvb+fnPf873vvc9brjhBpYsWcJTTz3Fu+++y65du/rcl2EY/OAHP+BrX/sad955J/Pnz+fXv/41NTU1PPfcc8M6qZGkmeM4d6iG6cvmsvLu9ay8ez0F80oAMNs0Av5BfGM9tx2s8bDzR+BtG92AheiHWVXxB0cnYTlc1c7MTJnJWYiRkBFv4/v3LeSN4/V87/WTvTcI+jj04rus71xFJ3EQ9sO0dX3u66kd53hmbxX/dvc8itPiRjny0TWshOWhhx7i1ltvZcOGDT2W7927l2Aw2GN5aWkp+fn57Ny5s899lZeXU1dX1+M5CQkJLF++vN/njCVVszDn+lXEJfb+MNY0FSM8QMOousNQsx/syZA6HWbfAc1noGIXHH8Rjj4XKX1pKYeuFjjyZ2js4815UTgI2/4jUlojxBAdrGpjdvbodGWsbfde1fxEQoie1s/K4J9uLuVHW0/zn1tOXWqEaxjUPfUVpjsrKVi+gA/f+C+QMafPffx213m+9eIxPrWmmHuXTKxB4voy5G7NTz/9NPv27WPPnj291tXV1WGxWEhMTOyxPCMjg7q6vhsQXVyekdGzZ8FAz/H7/fj9lyaJcrvdQzmF0dVWAQ3HIeSDjLmgapA6M7LOkQK1ByFrIeSviFQR1e4H1QQtZ2DaDdBaDrWHIGt+730ffx4WfBjqDoHfA9aJnS2LsWMYBg0dfhblj/wM4/VuHzlJ9hHfrxBT3aevn4Y/qPN/Xz/J+ZYu/mlTKVWtXbyRMJNbstcxe9XMPp8XCOn8f5tP8PPt5fz1tYV85ebSMY58dAwpYamsrOThhx/m9ddfx2Ybva6R0Tz22GN885vfHLsDDqbKzzDgzBawJ0USD62PunyrC2bfeemxqkLOkp7b2BdFqpCO/QXic8HXGkls/G4oWgNx6ZGEJdglCYsYtPfPt7K8aHQaxAZCOhZtYvY6EGK8e3jDdPKS7Xzlz4fZue80JUWZ5BfEcbqzjtn0TFh03eCtkw3828snKG/q5Bu3z+avry2ckGOu9GVICcvevXtpaGhg8eLF3cvC4TDbtm3jRz/6Ea+++iqBQIC2trYepSz19fVkZmb2uc+Ly+vr68nKyurxnIULF/b5nK985Ss8+uij3Y/dbjd5eXlDOZVBG3Rf+PK3IWsROPsf7GfQCldFEiBPfaQqyXZFMX5XC7RXRrapOwS2RMi75uqPKyYtjy9EosMSfcNhON3o4frpaaOybyEE3L0oB8f+16h54XWer1/GMzUZuOcouHedJ8FupsMX4kSdm7fKGqlo6eKawiT+83OrmJU18UazHciQEpb169dz+PDhHssefPBBSktL+fKXv0xeXh5ms5ktW7Zw7733AlBWVkZFRQUrV67sc59FRUVkZmayZcuW7gTF7Xaze/duPvOZz/T5HKvVitVqHUroV+XK5NQwDNpPnaK57Ay6JR5MblDNI5OsXH5QV99JHvZEaD4bacDbdBKW/d3IHVdMOv31MhgpobAxoXseCDHenXp/N5aUn2BOXMxHS+y8VTCTo5UeXtx/lLBuoCqQn+zgupIUvr9kIYvzEydNqcrlhpSwuFwu5s6d22OZ0+kkJSWle/knPvEJHn30UZKTk4mPj+dzn/scK1euZMWKFd3PKS0t5bHHHuPuu+/uHsflO9/5DtOnT6eoqIh//ud/Jjs7m7vuuuvqz3AU1Gx/l6NvnODGbzxIy7EjMPO6sQ1g5i2R0hVVBQzQZIYF0b+jNW7mjFJj24YOH5nxsaseFmKyO3FiNzvfe4/5Mz7Akq/eS/z0aXzgQjKi6wadgRAOiwltCnxpGPE73fe//31UVeXee+/F7/ezceNGfvzjH/fYpqysjPb29u7HX/rSl+js7ORTn/oUbW1trFq1is2bN8e0ncxFRlcb517eRvyHNlC/7wCunEw66xrY8H8+jqKqpMzto3HsaFOUS8U+Qxy+WUw9TR4/83JHZ3TbU/UerimUweKEGA1nOlp5u/UlZs2Zw+LrP9Sr1ERVFVxTaOwjxRjqhAXjkNvtJiEhgfb2duLjR/ibpKeBzjNHKD/YiGrSMFktpM4qIXn27JE9znCdfxecaZH2LoGuSK+kkvWxjkqMI1vLGlg3M31U9v32yUaunyHtV4QYDU8ePkGnAY/Mnxy9fPoylPu31CUMgjM9lbmXT405nhRcG+kGnT4bHMnQ2QRn3oz0VBJTXrs3iH0U5/YJjeLIuUJMdRm1kG34IAYF+eOR9EWcDLLmR5IVAGdqpAGwtzW2MYl+VVRUjNmx9lW0srRg5MdeAWhw+0h2jk7PIyEENKmNnE+Y8JUgI0YSlsmocFWkqkjEjGHodHQc67W8paUFt9vd76CII03XDUyjNEbKvoq2URmITggBuh7gujNHWdwxdl9wxjtJWKKZiE18FAXiMiLD/osxpesBmpu30dS8lS7vecJhf4/1DQ0NzJ07l/b2dgKBgWdivVrt3uCoNsizmeXjQ4jRoqoWNhdtZZv5xViHMm7IJ85gTMT+7Am5kYa4YsyEQh4aGl4hMXE5aanrSUleg9t9oHu93+/HYolUoUyfPp1Tp06Najz7K1pZnJ84avufiLm8EONRtS/QPUhpQ4cPw9AJBAKsbJjH8uZign5vjCMcH6TR7WRVewim3xjrKKYMXQ/S1LSFjIzbUZTI9wCTyUk43NW9zfnz5ykpicz0raoq2dnZ1NTUkJ2dPSoxGQajVh1U0+YlQ8ZfEeKqVfoC7G3vxK6prI538svfHeKjsxswik0Ei1JwWzLx+oOYrTJfl5SwTFaqCob04BgLuh6goeFl0tNv7k5WLnfxm5NhGKjqpfVut5vk5NEZw8QfCmM1jd6fd1l9B6WZvWcwF0IM3vbWDp5vaOOO9ESqGjxsP9XE9SVpmOwucnI2cd11nyEr0yAuTuaNA0lYJq+cpVC5O9ZRTAnNzdtISVmLqvbuMWOxpBAINuN2u3uNMRAIBEZtcMQj1W7mZI/OYHEAGMhw/EKMgDvTE1EVhSRV40BHF5o/TCjk6V5vs7l6fNGZyuQqRDVBK+rtieBzj/phjJCO//zoH2c8UxQNs7nv5MAfaMRqSaW2trbXBKCjOWaj2xckwTF1RsAUYiLqCuukWyItM+4pzcRm0tAtKopuxuMpo7HxNeLiZkbZy9QhbVgGZYJ+kzTCo7p73R/Gd7wZxWbCCOkoo1gFMZ4pSv8DsymKRlvbWSwWS49htdva2khIGMUSkFFU3eYlO1Hq08XkZhg6Hk8Zuu4jIWHRVe+vvevSlwhfMMzvzzVy3ufH5A1zut3L6uxEwoaBkWYnPqsUzWwhxbEOVZUvHhdNzTvMVFC5B5Knjdru9a4gvrIW7PPTsJUk4j/TNmrHmshSU9Zy5uxmCgsLeyyvr68nNTW1x7IDlW34Q1efZI72bBtldW3MyJA6dTE5HT2/n7Pn/0hLy3Y8nWWEw1fZQ8cw2Hmmmf+3pYxwyMe+8y28e6aJm9IS+GBOKo1dAe6fkcGTp+tYOi2F5QuycKbnY7NmSrJyBUlYJitvK6SPzvwTYU8Af3k79nmpKKqCYlIxwsao3ygBDN3ACE2cxsT19WUkJhT3mrTM5XLh9V76ICxv6iSsG2w72cSR6vYrdzMk55u7KExxXtU+BmJ0vkBj46sEAk2jdgwhxlqzx8/mI7UcOH+K9PSbSUlZQ2bGnXR4eg8AOSQ7/4uyfW8zP+08p3Y8gO/A77ihNIOsRDuzkp3cNzOTisZO7kpLZHWyNGQfiCQsk5XZPirD8xuGgf9MO/Y5qT1uwpaCeAKDbMtiGAY1NcMb1C5Q1UHH9mp0X6jH8lAohM/nG9Y+r17fiVooFKCyaivTpm3qtc5sNlPf3Eazx48vGO4eM+XG2Rk4LBqvHK4lOMx5esqbOylMcQzrudE0uetwOGaSlraRlpYdo3IMIUbF6Tfg1Btw6nXY+eMeqzYfqeNsUycb52SSaK4BLn2+tLcbtLZGPkt1XWf37t10dXURja6HaTx1hA41mQ3XrqC8yk1a0mri4jMACOsGe8+38trROuwWjTVFKSN3rpOUJCyTka8d/B1gH9lh071Hm/EebsI2s/d+NacZvSvUx7N6q6qqoqOjg3Pnzg3p+OHOIKFGL641ufjPtBFqvzSK7Llz5zh9+vSQ9jfa9u79b+bM/kif69LS0th6oo73yiPFw3csyO5OAIvT4rhhVjqvH6unojn6B2MvBr1KdEbKwbM7WDZjNYqiYDYnjsoxhBg10zdExqdKmwFE5vU6efIkVefPck1hMoqikJ+9nsb2yBeq99//H3JzbqC2poajzz3HsWPHyCqexjcOnSSgD/yF4i/f+wMB3ULN2XJyO48wJzNA2GrFoYV5q6yBd041Upzq5KY5mUxLkyrWwZBGt9FMyOE8FQh0gt8D1pH5Q9D9YRSzin1O/98CTKl2gg1dmNMH/nbf2dlJaWkp7e3tHD9+nJkzZ0btthd2B+jcV499bqQaylKYQLjFBwnWSHy6js1mQ9f1cdEFsL29ieTkPOz2vqdL3338PHPz01gxK6vP9VaTxi3zsthf0cr5lk5WlaSOWhIyWIZhgAHahcHojInag05MTZe9Xdva26k7cQKXy8WMGTN4v/qyAR7rDjEvs4umpjqysxM4c2o7zl+8S/usWSzZuJEfHznJwuwEHjlynv8w4rDPSenR4eCxl/+ZpWdChJqu5/DWPay67zOQlMxNkRyJ9JlQMlbnPMlIwjIYE21ofls8zL0Hzr4FJeuveneGYeA71ox9QdqA25nTHXiPNmFOd0S6OocNrMU9e8LU1dWRkREpEk1ISCAQCNDS0tKrASqAETbQvUHC7gC+4y2Y0uzdL4ViUrrbslxsO5ORkUFtbS05OTlXe8pXrbJyGzNm9D/S8LHKJh68aUnU/SzKT6KlM8ALh2q5fkYaCfaBG+FVtnSRmzQ6PXiOnNtJcfY1wMXkZfInLMGwjnmURgsWseNxt1OyoASTKXILDIV1thyvR1EgL3sjeTnJ3V98cnLAWPIAgaYmqmtr8dnsvHD+bW5pzERdsALfqWps0zJQmo9jVL4HCTfycvNXeTB/Kbl33kVc0ui1J5tqJGGZrFSNkRpDJtziw5wbhzKIgcJMaQ68R5ow58ShaCqte6tpSfShXyg+1XWdmTMvjSvgcDg4efIkNput12iO/vI2jICOGmfGsTgdU9KlQdZUq4lQiw9LQTwtrS0kJyfjcrmG3TZmKNrqaknIyOwu8eirpEHXvVgsfTeg236knIXFGYM+XrLTwu3zs3j2UA1J6Q7WZfVf1XeqoYN1M9MHve+hqG2t4aaiawHwdJZN+vEh3j3TxJkGDx9bWRjrUAYlFOrA4ykjMXFprEMZnzQzhPxgsuL3eTGZTHi9Xs6dO8cNszLIzen/b1IxmbBmZlIMfAWo9jhpeLOMtmf+gurQ8J+egUN5F83pZ1WGxo9KSnEtzCI5S5KVkSQJi4gqWN+FbdbghpA3pzt6VAlVNFczZ8Hi7m8yV3I6nSxcuJDTp08zffr0HuuMgI5tVnK/VSH22SkEzrXTHGrufq6iKKNaLdRw7iz+Tg8N586QNaMUZ2ICqtKz1MMwjAELH45WNvF3N18z5GNvq2/nY/nxvNTYxo0p8ViuOEfDMAjro9N+5Wx9NekJlxIhv68WV+ro9EIbD2ravDR2+MkZpdKqKx33eJkVN/RjGYZOu3s/oWA7mhZHINg8CtFdHZ/Px/Hjx1m06OrHMrkqjhToaob4bCy6l3OnTxBWzJSWlg75byYnLoecO3LwZJ6GsJW69jBu321kdrxLHIf4pzt+SFH86DR8n8okYZnMwoNrBDvgLjwBVJs2rJtgU0U9SWnJ/SYrFymK0mP/hm7AILovq3YThm6ge4Ldz8/JyeH48eNYLBacTieZmZkjlrx0trXidbspmL8QgOqy41Sd3EHRwmU9tquvP05SUlG/+3GY+x9orj+/L6vjbxbkMj/JRUDXeb3ZzSynnWKHtXubw9XtzM8dncHoTlft4MbFHxzSc84eaAQgOctJYsb4/vA+e6CRzOIEHPGR6RUOVrZx58IctpY1jMnx32rpABh00uLz1dDRcQxF0UhIWIjZnEQw2EaH5/iQj+3zBLHYNdRRqPoKBAKcOnVqfMyF40wFTwPEZ5NdVErQoWPLvrqxquKWlRD2h+l4q4p5NxdRf8jLLGczNklWRoVUzkY1gevp7YnQ1XJVuwhUebAUDe8mWH38HPmLojcv83V0Yd7Rjt4VBKBrbz3+8nZUa+9ESdd1mivqObHtIMe27uNsZTnx9ksfhk6nkzlz5jB9+nTi4+M5dOgQoVDfiVsoOPhB2sKhIFXHj3QnKwA5M2fh9zVhsfQsSq6p2UVOzvI+93O+oY3spKF/mFW3+5ifEWnAa1FVbk1LpCMc5s1md3cbnnq3f1RmUD5ScYTc1Gndr4U/0ITFEr0LpmZWKV6YRjisc/ZAI6f2HKTy2GFCgcCIx3g1ak+3kZITR1VZ5G+lsqWLorRIUb6VGo6dfW5Q+zl69CgnT54kHB78+8oTCvM/Nc18IDOJsk4f4SjtggzDoK7uLwSDbaSmric1dR1mc6SKsLl5G0mJl9537Q111JyMnsAc31nLgTcqqStvxzCMIf1dDCQYDHLixAnmzJmDqqpDui5XfeyAn9ba6u7He9o7KTOckRKWk6+i5S7Blj17RI6lWTUW3pjP+SPNmNMKsM1eOyL7Fb1JwjIoE6zR7UV5y6F679XtQzeGVbpy/tAZcqYXDHJrBYqd+E624j0eKdK2TU/CNrN3NdSJbQfxd/ooWTGb2esWM3vdYrJn9X2cuLg45s2bx6lTp/pcf+jNKo7tqCEUiP5BenrPLkquWdlH6EqvEhxNs6BpfZei7Dx2nlXzhvatzuMPYbf0/lNd4HKwNMHJXxraKGvtJCWu9+SLV8swDGoajzG74FIDYU/HUVyuOYN4cuRXSnYcxQvTaKpoJKO4hMqjhzh3cB8N587S2TbyYwUNRVt9F4qmkJBmR9NUdN3gVEMHMzMi7Y9Ks7Mobw7i7jgy4H4aGhrIyMjAZrPh9/sH3PaikG6wuamdj2Qlk2Yxsy7Zxa42z4DP6eoqJz5+AS7X7B5/lx0dx0lMXIqiqLgbGzj13rsEfT4sdgf15Wf63Z+72Ysz0UJ6gYuu9gAHt1Ry8r36wQ0COUC33lAoxPHjx5k7dy6qqpKcnNw9lslo8Xd1UX5gLyd3baf6+FEazp3tXtcaDKGZzFQdex3SZ0F8373zhktRFUqWpJNR2HevQDEyJGGZpOree4VzLz2BL673zdzQdc7u30PQP4iB1rThJWvtdS2kFmcOuI0e1mk6V8+Zv+yno6qFJn8b9lkpOK/p/3m6YZA9qwCTZXBDVmuaRkJCAg0NPYv2Pa0+sqcnkjcrmYqjA5dCVRw5SN7seWhXVG35upoxmXoX4StK/39WwbCOdZCxX7S5vJH1hb17UQHEmzTuykji9+UNLMpLHNJ+B2P3yfeYV7i4xzLf2/vofGcHnbt2o3d29vm8LneAwGWD+3la27C7XFhsdooWLSV7Rikmi2XgEoCaA5HBvs7tgLZK0EfuG3qg2oOvrIWG7dVkXlaCqCigcKmK8lBFBUE9CUMP0e4+2Oe+DMOgsbGR1NRUMjMzqaurG1QMb7d2sDrJ1X2sBLMJn25Q4+u7BCpQVUXjD76P3d7zb7qx8TXOlP2WqiPnObt/D94ON9OXXUtqfiGpeQX4OjrwtPb9HtdDBvGpdnJLkylemMbCDfmULEnnxM5aPKcO9V2tbBhw9m3Y8X1oKe+1OhwOc+zYse6SFYj0CGxraxvUdRmO6rLj1JQdo3DBYmasWEXhgsVY7ZGSzFOdvu6qU9+ij0Ni/qjFIUaXJCyTlLehkvybP0V1TRv15WfobGvF3dTA/ldfZP+rL5GYkc3pPbswBviWZBjGsMuWVFP0dhre9k5q3jrJjHuXkjQzE1d29IHuvL6hz+uRnZ2Nx+Pp7kHk8wRpON9BZnECrmQbJouKu6nv/Xa521EUBUdCYq91p/a/zIwlt/dYFg6H6K9ErqPLh2UY7VdOt3qZOUDXSMMwsCvqiDe2NQwDt+ccWSklPZZhNhO3Zg32hQvwHTuGZ9s2PNu20bV3L/qF6p66s+2ULLnUSPfUe0eZsWJe92OL3UFiRhaBqk785f1MRdDZCCUbIHtRZFyh8rcjI5VWvtd700An/rA/aslASDciXe4VsM1Mxuq6VCqVmhfHyTOtJDsvLXNYNArTM0lIWIimOWhpebfXPmtqasjNzY2cl8WC1+sdVPXH9Ukujnf2fN+tT4nnfXcX+hXnoft8+I4dwzx3eq/XORBoofWcj2lLVlC86BoyintWwxbMX0jV8SOEQ8Eey6tOtHDorapePVksNhMlc524926Fg7+DwBWDF77/Cwj5YNWj0FgGHfWX4tR1jh49yuzZs3uUMqqqGvW1MQyDY83HeKvyLX5/4vdsrdjKvvp9Az7nIp/HTdGipd3X5vh7z3D2xLP8uqqBGl+AApuVsk4fJbmTt6H4VCAJy2SlqqiaxrQly9j97O85tu1Nak+dZMby61i06TaSs3OYtnQ5p/fs6ncXoSYvary13/UD0fVw1A8oZ7KLlCV5NJ2sJWdxMUl5A4/zAmDVhlftUVhYSFdXFyfLTnJ87zmKFlwqscifk0LD+Y4+q4aqjh8hd/a8XssBwsEAFlvPxoTnzm0jN7ePqiPghd0nuH3Z0D4wDcPAHKWU6w9nGrglf+SH9d5zajtzC3ueS+fpg9iLIyNgqTYbjmuuIW7NGuLWrME6YwbevXvxvP02warKHjfWgDeA44qGiKqmEedIQHWZCVR29Dy4rtOd+FkckXmxcpeBHgJfzykgwrrB3z/3FIcaD7GjZgcvn325z/N5ramdfz1SgVvXsWRHXrfLr2xzdSflXj8LLiupOlxVi9MaaRcU55yOw1FIY+Pr3e/tlppq3n35hR4zb8+cOZPjx49f6C3W/9+ASVUI9bF6fYqLN5p7nqPn7W3ErV3b4xO7wX2a3+77BkH7HMhdw9vvPd/v8aYvW0nZzu201lbTVHmeurPttNR2suLOYiy23o3ivU0N2ObfCAs/Cide6tkWzpYAGXMjxVEzN0HtASDyXj169CilpaVRG9pfrnPnTk586WHeqthKsi2ZtXlrua/0PooTi2nyNuEJDFxNpuvhHqWapw6+iDM+jevueYT00DFCXcd4q8XNhhSprpnoJGGJZoIOjtXlufSt6LZHvsz8DTczc+UqnIlJ3TcSi81OxrTpVBzpu6g7VN+FZZjjCJg0bVD14Lo7gDlx8ElR9sx8Kg72XyffH1VVKSkpob3BT9G8jF7fUosXpnLucM8uoU0V50jNK+iz5CLg70Iz967a6fBUk5xc2Gu5rusEQjoO29ASru+9f557Zgw8Zku528eclJHthaHrOq0dNWSn9Cw+7yjbSULp9X0+R3O5cK5cSdz110Nnz5uMqil0NPcuSTHF2QhpIcLuK6pBInUzl1Tvg7cfh+bTvaac2HW2mUU5+VyTeQ2rclYRb+37xmRSFO5wuWhULntfXjiGHtZpD4ZIuyJBT4uzMT37UomFzZZNYuIy6utfIBjsoqW6kpU33Mjx/ZfaiplMJoqKijhy5AgHDhygs73vG67uD6PQe3Ztp6aRYTVT4Y20hel46y3sCxegWiyAimFESkXPt5fhtGXz25N/wZSbTFHOLN7Y9ac+j6WZzExbshxd1wkHg5w7uI85a3L6TFYA/M0t2FNTQVVhzl2RUq32qkjy0l4Fjsval11IzI4ePcqMGTOwWAb/Hg9UVqJ7fdg/+7eYdh4g03mpOrggvoB1ees41HhowH3UnDxB9oxZQCR5OX9kO1nFy7FaUtlUuJbaQBirqmIdByNgi6sjr+BgTLSRbgGLScHbXAuAqmpYHX33TIlPTcMRn0B1Wc+2BMEmL2r88BtxGhC1O/H5d05gy44ntWDgti6XSy3IoLV++GNNeLt8JCb3vqGpmkpmcTyn90bauoRDQVpqq0nOzu1zP6f3v0jJwlt6LVf6qQ56fd8p1s4rHFKsTx2u4trsBIoS++9V9Mq5Jpalj/wMr/vP7GBOwXW9luuE0bShl7otuXUNR97a02u5JcGJr9mNOcfZu5SlR0C/hZWfhWs/C7mXGgD7gmE6fCGsg6iCNIC5+Ynsrumj8aeicLS6ndK0S9fyN2//kfzU3qV+ZnMC6em3cHjXDyhcuITmpgb84XD34IgQ6a02b948Fi5cSMPLJwk1R6p+jJCO70wb3hMt+E+1Ulrr43hn77ZkC1wOTnT6CFRUYEpJxZyRERlnp6OtuzRhYea1zIgvRVVUDIz/v707D27izvIA/tV92JYvSWBsYWxjcAgQjhpiB0ISDrOQWrJLZmuXncm1k9RsUpXs1k4ySWYzSeZgquaq2ppsimIrlWSTGqgKmSMOwxAMC3ESMPGBCBgf+MKXbMunZEuW1Oq3f8iXkGxkYtxt532qusCtn+zXz63u51//+tfIzFgBV1/vlH8o6IxGpKbbIARUEIPC+CMWohlxuaFLHi1KVJpQT0pvfWgs0eZ/Cz1cdYxlBWo+/QNycnKg0029b4xdLhsT6O6Gr6EBWlsGMpeuweKctTh37H8gTBo3o1Fp4AtODGJ2942g9M8N8HkCoekPAPiGh6CfdNu0OT0XGu1EfJ0BJbYky+C2ava1ccGyQC3f+zR6Kj5B15fRu8cnMy9dBp3BgPryC7h24RxEUYSnzgmt7fY+6lxhVMFgnPlkWel5mWixz/xBhzVfNSJruW3K1+OT9TCatOjtGELlX0uQs3HTlG39I24Y4sIHwnZ0XEJKyoqo7R39w1i2OLbJ94DR27c9ARSkTz2uRxRFVPYNYVtG7N83Vn1uBzLM0Yu1W6FUKiEEBDhbJm41bSu5hL6LzfD1uaFO0iPo8k/MvTPYCpgm/fz8ZwDvAACg3jMCYfRkdbq6GztX3WTWYCIgMIJlBi0eLr4MhTjphE5j8SkgapVhY0cS9PFYl7U26rdsrvkLEhJzoNZo4B8egnVJBso++zSinUKhACWpEej0QBwR4GsKjYky5KXAsNoMqzkOfU0D0eMOBjFytRqGNavHV6kSJi49qdVJeK/sOlYmbEbx9WIAwL2bHsRfzx6eNh0qjQaWZVN/DgCARECpuaH3Jft+IP9fI/+AS8lGvKcFeu30l4FsNhva2tpC3z8QAI2MQGuzQTc66WPut3Zg9ca/wYUj/4X6y59NvC/BhhZXCzqu9WOobwRrt9nQUtWHxktO+DweaA2RlxrHt4NEPG4egXIe/tHJInHBskAp1GrYCh+H0H0NXY03P7mbly7D0jvXID1vFZrt5Wi/XIVgIHDT9035829ygOhv68FI19Atzc1gXroIQwNu9LfPrKelq6MHtpzpe3PSlifC6/LDO+SHEAidPB31tRjqm/hZAb837KA4prv7Emy2yCLnSpMDOYuTZhRrSfsANi2Zfv6b96914R+ybj7uZ6auNF9AumV11NdudWCv1zUEpUqFLz74ZHydMDSCrL/LR9LK0MlTn5cCb1VPqIegqwowTxR/lLQU9V3N+LCzDx93D+D/+lx4/1onsixxUN34yIiGs0BTCTDQAlw/D5x8BSh6Flk9duTEG/DY5uxJGzTxX7VaibpJxYNPABocdRHb8tX5Q3APXkfu2n8EAKQmJ8Gk16G38Roaa65GtCe9EvqVyfBfd0FjNUKbNdHDp1kcB9VI9M+A6dwXUH1rYkZkhUIBxaT9rsfVjcKc5eh0ufDSppcAAFZLBloaq1HfUhX1ewKAyzkA0w29jFe/6EDz5R6Io8Uc3TBO6GZSCh5BV+nRadtMHnjrLi7GSG0ttNnZYW1MaUux+bvPo+tKOYbcoXEz6YYMlH5+FSazEWnLk2A0aZH7rUUwxGtx/g9/Rdek31l3WxnESceUwcFKJCZKPMMumzVcsCxw5qXZqDlXElNbrcEIY2ISsjdsQmJuOoSvUbDcbOyPt8MFlVaNYODWZuPVGw3QGmK/ZOW47kRyDIPuFAoFdHEBJKQkQmcIdW97BgfRWvUVxNHbauvtf4m4HOT1uqa8VFJe34F712RHfW0q51r7sdU2dc+JKIroGPZhxSw/WM3jG0Z7bytW2SIn1Qr09wAx/rpuvPns/B8/Qf7fb8ND//F42HqtKQ76xNEBsCoFdMuTMVLVAah1ofETo67WlOAwMrAt1YTlRj0KzYlo7/EgxxKlq9+QCCRnAW1lQOpyYNcBYM+v0FR1EoIS+O+S6AX8PxcuR6PDjZb20KWpTIsFnYOR424GByqwZtMz419rtDo0VFzAzv2PorGmOuyEOUahVkK/MgWqRF1E0afTqeAajryVedX2+3HVfjl85aTeoT+WVWLbmgIoFArEaSb2g0e/8xLKy4vxv0d/FXU7u5u7kJIe3jvo9wpItBhQcz50GVmfkQtvyxR/6Ey6K2hMXLIFwsjQtHcdAoBGo0H3738PVXIyFGr1lAWwSqOBZ7AntJ1/PoOHdm5DfHL458u6LAFJi1djqG8Qve2hS7mOxsu4675/GW8jCG5oNEnTxsTmDy5YFjB302VUXW3D1u88MeP3hp6GfGvzXgSGfVDqpu8eXrIpGzk71qDvWuTBLxaeIQ/iUsIvWRFRaFBhMAhBEBAIBOD3++Hz+XCprAZ5q5fD7xXGF98US+XxU8jbvAZetwseV+iElbhoMa5dOAev2wVXfyM0eg38/j74/b3w+3tx5coRLF26Ex6PJ2zp6R+ELwgMegIxL3+u78ayFCMGAsL44hKCcAtBDAtBeIIiDl5px75lZowEgvAJE4tfCA3uDQRDizC6BEVCUCSIo8tU4xw+u1yEB+7aG/U1VWIKhOH+2AZTiyLEoDjeNmlxGuwnz43PG02iGPVkpYrTAB3VQFb4wN6AbwivrlmNFI0af2tNAgDo1Ero1FEOYQQgyQasfhiID/VAVQ15MXC9DPf7r6Hwjql72R7enoVj51oQ8AfR1teLzXnhz3yq+vIt5K19DkrVxP5tu3Mt7tq5Bxq9HvnbduDz4hM3yU64VXkW1Nb2RKw3mRIw4pkYPO9ztkOVPHE32FrbYrT3tka8z6iPxz/t+3fotdEvty5dnY322pawdeaMeJjMBsSPDoC3rL0TztrmyDd3XgZO/mfUSeMScvLRf23quw69DgfaTpxA08gIhs+dh3HDhqnb9vfCmhHqYUtaZIRGGXoMx+R9T61RYd3Olbjvuw/CfvILAIDekATvUOiREETivBx/yKamoJimNJQ3l8uFxMREDA4OwmSa5VvXAl6g8Wxo4NmNCHM3Ce7NflaU150dXRgyhW6jnWmY/kEvlqSugFqjnvGH3uvxoNHngCll8oRcirCDzdjJKqlPi/ikacbKjL3nhhg6fb0QohyPx55LdOPi71Mj3nTz3ggigmegAcbE+NAA2tH3J6ctQb+jIzQ3jX4QhvH5O0JtBvoFqNXWiJP5gCcAlyIOBl3sk8UNBIMwpUyaYp9Cv15xND4RwLDLhzhhIj1hT4ymsH8i2vQN+5FkjN47ZVGdxqKkNEzsMWPfJfS1qs4HdbTE38BJVqitZlBwIi533yCUii7o47UAEZKGzTBYJ132Gg1U6SiBNiO856TUo4A3faJ4EAF8daUbG9JC7692XsOdmUEoFAp4uqtQmJATHj6ATlcPLloLkNalRl5CaBu6WoeguOFOOLc3gIvdLozEubHI2I97ssdyRagvK4d18f0R2zt572xtaUHapFvhDQ4RqdZJPRpRPk9X/H640yLzqq6pxnox1NPpc3fAf5cWWn0KgNDJu7Q1FV7VMNJShYgB397GDuTEZ016qvjoevcI9Amh8TdjhICI7HUW9LYPYXggNMg1fsiOlNQop4eAd2LQ7aTjjuAfQb3fDHV85CSHRAQxEEBSWxtUQhA6o2H08pYCiPL4E6evHx13hIozzUA80pS28YeKRjsaDQ/2wmB0QyQRBks/tAY9AEJi4kao1TzgVs5mcv7mgoUxxhhjkpjJ+ZsvCTHGGGNM9rhgYYwxxpjsccHCGGOMMdnjgoUxxhhjsscFC2OMMcZkjwsWxhhjjMkeFyyMMcYYkz0uWBhjjDEme1ywMMYYY0z2uGBhjDHGmOxxwcIYY4wx2eOChTHGGGOyxwULY4wxxmSPCxbGGGOMyZ5a6gBmAxEBCD2mmjHGGGPzw9h5e+w8Pp0FUbC43W4AgM1mkzgSxhhjjM2U2+1GYmLitG0UFEtZI3OiKKKjowMJCQlQKBRShzOnXC4XbDYbWltbYTKZpA5n3uC8zRznbOY4Z7eG8zZz8zVnRAS3240lS5ZAqZx+lMqC6GFRKpXIyMiQOgxJmUymebWTygXnbeY4ZzPHObs1nLeZm485u1nPyhgedMsYY4wx2eOChTHGGGOyxwXLPKfT6fDaa69Bp9NJHcq8wnmbOc7ZzHHObg3nbea+CTlbEINuGWOMMbawcQ8LY4wxxmSPCxbGGGOMyR4XLIwxxhiTPS5YGGOMMSZ7XLDMY3V1dXjooYdgNpthMpmwZcsWnDlzJqxNS0sLHnzwQRiNRlitVrzwwgsQBEGiiKV19uxZKBSKqEtZWdl4uw8++ADr1q2D0WhEZmYmfv3rX0sYtfRizdsnn3yC/Px8JCQkwGKx4OGHH0Zzc7N0gUsolpy9/vrrUV+Pi4uTOHppxLqfERF+85vfYMWKFdDpdEhPT8eBAwckjFxaseStubk56uulpaUSRz9DxOat3Nxc2rNnD126dInq6uromWeeIaPRSA6Hg4iIBEGg1atX044dO+jixYt0/PhxMpvN9PLLL0scuTR8Ph85HI6w5cknn6SsrCwSRZGIiI4fP05qtZoOHjxIDQ0NdOzYMUpLS6M33nhD4uilE0veGhsbSafT0csvv0z19fVUUVFBW7dupfXr10scvTRiyZnb7Y5os2rVKnrsscekDV4iseSMiOjZZ5+llStX0kcffUSNjY1UXl5OJ0+elDByacWSt6amJgJAp06dCmvn9/sljn5muGCZp5xOJwGgkpKS8XUul4sAUHFxMRGFTr5KpZI6OzvH2xw8eJBMJhP5fL45j1lu/H4/WSwW+ulPfzq+bv/+/fTtb387rN3vfvc7ysjICDtofpNFy9vRo0dJrVZTMBgcX1dUVEQKhWLeHRRvh2g5u5Hdbo/4TH+TRcvZ1atXSa1WU01NjYSRyVu0vI0VLBcvXpQusFnAl4TmqdTUVKxcuRLvvfcehoeHIQgCDh06BKvVio0bNwIAzp8/jzVr1mDRokXj79u1axdcLheqqqqkCl02ioqK0NvbiyeeeGJ8nc/ng16vD2tnMBjQ1taG69evz3WIshQtbxs3boRSqcQ777yDYDCIwcFBvP/++9ixYwc0Go2E0cpDtJzd6K233sKKFStw7733zmFk8hUtZx9//DGys7Nx7NgxZGVlYdmyZXjyySfR19cnYaTyMt2+tnfvXlitVmzZsgVFRUUSRPc1SV0xsVvX2tpKGzduJIVCQSqVitLS0qiysnL89aeeeooKCwvD3jM8PEwA6Pjx43Mdruzs3r2bdu/eHbbu0KFDZDQa6dSpUxQMBqm2tpby8vIIAJ07d06iSOUlWt6IiM6ePUtWq5VUKhUBoIKCAurv75/7AGVoqpyN8Xq9lJycTL/85S/nMCp5i5az73//+6TT6ejuu++mkpISOnPmDK1bt44eeOABiaKUn2h5czqd9Nvf/pZKS0vpyy+/pBdffJEUCgV99NFHEkV5a7hgkZkXX3yRAEy7VFdXkyiKtHfvXtq9ezd9/vnnVFFRQU8//TSlp6dTR0cHEX1zCpZYczZZa2srKZVK+vDDD8PWi6JIP/zhD0mv15NKpaLk5GR6/fXXCQCVlpbO5WbddrOZN4fDQbm5ufTCCy9QZWUlffrpp3TffffR9u3bF9SltNnM2WSHDx8mtVoddvl2oZjNnD311FMEgGpra8fXVVRUEIAFd5nodu1rYx555BHasmXL7Qr/tuCp+WXG6XSit7d32jbZ2dn47LPPUFhYiP7+/rBHiefm5uJ73/seXnrpJbz66qsoKiqC3W4ff72pqQnZ2dmorKzE+vXrb9dmzKlYc6bVase//tnPfoY33ngD7e3tUS9ZBINBdHZ2wmKx4PTp09izZw+6u7thsVhmPX6pzGbefvzjH+PEiRNhd3O0tbXBZrPh/PnzyM/Pn/0NkMDt2NcAYPv27TCZTPjTn/40q/HKwWzm7LXXXsMvfvELBAKB8XVerxdGoxEnT57Ezp07Z38DJHK79rUxb775Jn7+85/D4XDMSrxzQS11ACycxWKJ6aTo8XgAAEpl+DAkpVIJURQBAAUFBThw4AC6u7thtVoBAMXFxTCZTFi1atUsRy6dWHM2hojwzjvv4NFHH53yQ61SqZCeng4AOHLkCAoKChZUsQLMbt48Hk/EvqhSqQBgfH9cCG7HvtbU1IQzZ87MzzEFMZjNnG3evBmCIKChoQE5OTkAQtM7AEBmZubsBS0Dt2Nfm8xutyMtLe3rhDj3JOzdYV+D0+mk1NRU2rdvH9ntdqqtraXnn3+eNBoN2e12Ipq4rbmwsJDsdjudOHGCLBbLN/a25jGnTp2K2p1KFMrrwYMHqbq6mi5evEjPPfcc6fV6unDhggSRyst0eTt9+jQpFAr6yU9+QnV1dVRRUUG7du2izMxM8ng8EkQrD9PlbMwrr7xCS5YsIUEQ5jAy+ZouZ8FgkDZs2EBbt26lyspKKi8vp7vvvpt27twpQaTyMl3e3n33XTp8+DBVV1dTdXU1HThwgJRKJb399tsSRHrruGCZx8rKyqiwsJBSUlIoISGB8vPzI8amNDc30+7du8lgMJDZbKYf/OAHFAgEJIpYHvbv30/33HNP1NecTifl5+dTXFwcGY1G2r59+4Ibu3KrpssbEdGRI0do/fr1FBcXRxaLhfbu3Tvtifqb4GY5CwaDlJGRQT/60Y/mMCp5u1nO2tvbad++fRQfH0+LFi2ixx9/nHp7e+cwQnmaLm/vvvsu3XHHHWQ0GslkMtGmTZvo6NGjcxzh18djWBhjjDEmezwPC2OMMcZkjwsWxhhjjMkeFyyMMcYYkz0uWBhjjDEme1ywMMYYY0z2uGBhjDHGmOxxwcIYY4wx2eOChTHGGGOyxwULY4wxxmSPCxbGGGOMyR4XLIwxxhiTPS5YGGOMMSZ7/w/K2LQhNKc2iAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#run this if we have some stubborn border enclaves  ***  #not needed for TN; see PA for special triage\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.2))\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    for u in enclaveList:\n",
    "        plotPoly(unitCP[u].buffer(0.01))\n",
    "    for u in borderUnits:\n",
    "        plotPoly(unitGeom[u], 0.2)\n",
    "    print(t,HDvPop[t], totalEnclavePop[t])\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitGeom[u])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "18f46c40-7f28-4714-962f-0b462ff97b8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final ??? check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 572 time is now 1 sec\n",
      "working on HD 1107 time is now 3 sec\n",
      "working on HD 1850 time is now 4 sec\n",
      "out of 1593 total HDs, there were 1593 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 4 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final ??? check -- any more disco's ?\")  #run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedAgainUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "f4bb76c7-0ae0-40cb-9c6a-ee436dfc30c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDunitList = [savedAgainUnitList[t].copy() for t in range(nHDs)]  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.45679     0     14913 0.5\n",
      "1.4053     1     14506 0.5\n",
      "1.38435     2     7581 0.5\n",
      "1.04133     3     13911 0.5\n",
      "1.43017     4     11435 0.5\n",
      "1.45792     5     13529 0.5\n",
      "1.35931     6     8283 0.5\n",
      "1.5569     7     11617 0.5\n",
      "1.64451     8     12582 0.5\n",
      "1.39261     9     12758 0.5\n",
      "1.44138     10     6461 0.5\n",
      "1.44245     11     8366 0.5\n",
      "1.36121     12     5001 0.5\n",
      "1.23446     13     13657 0.5\n",
      "1.56876     14     11615 0.5\n",
      "1.54609     15     6168 0.5\n",
      "0.97277     1437     74593 0.25\n",
      "1.02547     1438     65321 0.25\n",
      "1.01721     1439     161612 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )\n",
    "# note for MN, option 3 here led to tight CCB unit usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "9bc31b5a-992d-4a38-b9fe-3470b55e1e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6150cac-2249-415b-a364-edf55dc441ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.27075 0.1719\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 899\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "f5b99900-614a-47df-b7de-5d59fffd6d3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.27075 0.1719\n"
     ]
    }
   ],
   "source": [
    "#Restart - may want to comment out first line\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()\n",
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 2 HDs with pop < 760293 to within 2529\n",
      "working on squaring up HD 612 time is now 0\n",
      "We have addressed underpop in a total of 2 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) )\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%100 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous unit avg and sd usage are 1.27075 0.1719\n",
      "amped unit avg and sd usage are 1.27076 0.17191\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prevUnitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "ee512b2b-4daa-4a6b-9452-e8dfdfdebc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is {1437, 1438, 1439}\n"
     ]
    }
   ],
   "source": [
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 1583 overPopped HDs to within 2529\n",
      "working on squaring down HD 0 time is now 0\n",
      "working on squaring down HD 60 time is now 14\n",
      "working on squaring down HD 140 time is now 22\n",
      "working on squaring down HD 200 time is now 27\n",
      "working on squaring down HD 260 time is now 33\n",
      "working on squaring down HD 336 time is now 45\n",
      "working on squaring down HD 397 time is now 122\n",
      "working on squaring down HD 458 time is now 139\n",
      "working on squaring down HD 555 time is now 188\n",
      "working on squaring down HD 617 time is now 218\n",
      "working on squaring down HD 677 time is now 238\n",
      "working on squaring down HD 763 time is now 271\n",
      "working on squaring down HD 825 time is now 286\n",
      "working on squaring down HD 886 time is now 335\n",
      "working on squaring down HD 946 time is now 356\n",
      "working on squaring down HD 1006 time is now 370\n",
      "working on squaring down HD 1074 time is now 392\n",
      "working on squaring down HD 1169 time is now 423\n",
      "working on squaring down HD 1241 time is now 466\n",
      "working on squaring down HD 1301 time is now 510\n",
      "working on squaring down HD 1500 time is now 517\n",
      "working on squaring down HD 1560 time is now 525\n",
      "working on squaring down HD 1645 time is now 543\n",
      "working on squaring down HD 1715 time is now 555\n",
      "working on squaring down HD 1797 time is now 563\n",
      "working on squaring down HD 1861 time is now 584\n",
      "working on squaring down HD 1930 time is now 594\n",
      "We have addressed overpop in a total of 1583 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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TvTRsVlpcAOX95Msf3v8G80e19luLi4PLxbXRXsrhWQxUrP9qfhGApuVcjdTkGK/NQCjmRpoyvAd6dm6velMkZzbSEkHpD9QEIhhVeocwDhKELAprtAZwKRcOaYTkketXDsC0nJ5ITY7VrT+1Li5aQ3zVnC/VTyycqm0V8B6+MQ2fflOhWBjxjN5h6b/1u05g28xswRIjZs6NpDdDeyRrMuewmo12HK2E3Wa8JlpNVJvZUgJQCL//sXGcXgGkwUdtbS3i4+NRU1ODuLg4o5sjiJStHgCFf6rEn6GzvhObi+Nw35tfy563btLgNouYlna2uDgs3XIEq7eXe2lilNyn2O+P6puC9bt+RE39RdlryJESH4W5+elIjI0QXAxKyioxZsUO2esI9R9/D7M+2h/0SRhT4qPaCINK+WTfT3hy/T7Z42IjwlDX1OL120bOO0rfE17DCAgLT4HS0FIIv3qUrN8kCElgBUEIEN4xFB10CpoKAv0iWxl/7MTEEmCymISWjM70ckQVMwexPGOpxV/pGBEbf1o1LQnR4Vh2X38MvkravMu6OPv2nydiQmEwsVyHd55V6PTFDPNO00WXokAEo4UQLe83oWz9VhSOkpqaCpvN1ubf5MmTcezYMcHvbDYb3n//ffc1Tpw4gfz8fMTExKBTp06YMWMGLl703jV++eWX6N+/PyIjI9GjRw+sWbOmTVuWLVuG1NRUREVFYdCgQdi5c6fX9w0NDZg8eTI6duyI9u3b4+6778apU6eU3K5l8M0hA4DCP3VA79w8YrlJ1CTA1BLiW1hagUff2SOqAVE6RsTGn1bO1Tfj/461hjVLFbrVw6cjzG7Dkzk9sXtuLqYM766+0UGOXFoCMXzHlNrixWrPKyytwI0vb8GCgu/wdslxLCj4Dje+vEUyH5CRBUwphD+wKPIR2rVrF1paLqk7S0tLkZubi3vuuQddu3ZFRYX3oHrjjTfwyiuvYOTIkQCAlpYW5Ofnw+Fw4KuvvkJFRQV+97vfITw8HH/6058AAOXl5cjPz8ejjz6Kf/zjH9i8eTMeeughpKSkIC8vDwDw7rvvYvr06Vi+fDkGDRqE1157DXl5efjhhx/QqVMnAMC0adNQUFCA999/H/Hx8ZgyZQruuusubN++XX1vWQQK/zQGKQ2S1gSYvj4Jap8x3w45tIwRLbmYfFlcfBirvzrmJbT57sr19OloLXlyGZZ+UaZL+82EHk7MWnzD+DG1dMsRrN91QrGmRa2Ghhf8fXHWNuLRd/ZIasqMKmBKc3hgUaQRuuyyy+BwONz/Nm7ciO7du+Omm25CWFiY13cOhwMff/wxfvvb36J9+/YAgM8//xwHDx7EO++8g8zMTIwcORILFizAsmXL0NTUWudm+fLlSEtLw5///Gf07t0bU6ZMwW9+8xssXrzY3Y6//OUvmDRpEiZMmID09HQsX74cMTExWLVqFQCgpqYGK1euxF/+8hdkZ2djwIABWL16Nb766ivs2KFcrWs1KPwz8BSWVmDYoi0Ys2IHnly/D2NW7MCwRZd2nHonwFT6jPmd9OKiQ4raoWaM6D2ufDVXvtl99cjMzdPi4uDiOOZ6fVaiVQg5rPp8fgw1XnRhak5PdI5jK2Piy+LitmNQLmOz2kzPLS4Osz7aL9meWR/tN51mhebwwKI6aqypqQnvvPMOpk+fDput7QSze/du7Nu3D8uWLXN/VlJSgj59+qBz587uz/Ly8vDYY4/hwIED6NevH0pKSpCTk+N1rby8PEydOtX9u7t378bs2bPd39vtduTk5KCkpMT9283NzV7X6dWrF6688kqUlJRg8ODBgvfU2NiIxsZLNZRqa2sV9Ih5oPDPwMIS+r7LI3OtFKwJMJU8Y9YCsmLniyGmAfP3uPKMpOsQGY6zdY3o1CEKy8b2w4KC71QXn9XST1ZhcfFhXOPowORIzz/b5PaR2Fleibe+Ou41NhOiwxHVzo6Gi9rryklFR2qJqtxRVinrBH/uQjN2lFViaM9krbehG3rN4RRxxoZqQWjDhg04d+4cHnjgAcHvV65cid69e2PIkCHuz5xOp5cQBMD9t9PplDymtrYW9fX1qK6uRktLi+Ax33//vfsaERERSEhIaHMM/ztCLFy4EM8995z4TVsEs4V/BjMsk/T8Tw+gkXGxYE2AyfqMq+saMXntXlUmOanSC1Jmitx0h6YcQyzwpoH7Vl6KtkuKDcfzv85Axw6Riid+pYV2rYyciYxVINTbqVzM3KPFTFRy9CzTb5ccPWsqQUiPOdxoZ28roTp3/8qVKzFy5Eh06dKlzXf19fVYu3YtHnzwQU2NCzSzZ89GTU2N+9+PP/5odJNUoaepgJCGZZJ21jaimiE0u2NsBAZ378jkoM3yjOfmp2NBwXeq/ZLExoicmaLooNPdtkBSVdeMKev34ssfTilycNfiv2VFfGtreSL2bAOJr7lHm5mIdY4z11yodQ6norHKUCUIHT9+HMXFxXjooYcEv//ggw9w4cIF/O53v/P63OFwtInc4v92OBySx8TFxSE6OhrJyckICwsTPMbzGk1NTTh37pzoMUJERkYiLi7O659VsVIRTyujp43+9swuulb9ToyNULWgJcaEi44R1miW3HQHXr+/P1IkCqvafvkXH61vXte/by3Hpm/lJ/pLflM/BLU5TAihcWsWgdDX3KPFTMTqSGxGh2O1czhFnClH1Qy0evVqdOrUCfn5+YLfr1y5EqNGjcJll13m9XlWVhZefPFFnD592h3dVVRUhLi4OKSnp7uP2bRpk9d5RUVFyMrKAgBERERgwIAB2Lx5M+644w4AgMvlwubNmzFlyhQAwIABAxAeHo7Nmzfj7rvvBgD88MMPOHHihPs6ocCIjBTkpjvIRuxH9PSHyU0XF9LFkHrGn+z7SdG14qPaYeKwNEzJ7ik6RpSYKTzbVnTQiQ37TqKqrsl9LO+/A0AweZ0W5n5SirwMh7uUxs7yKjhr6lFV14Sk9pE4UVmHdTtPwFnbKH+xIERo3OoZ7QcA4WE2NLcoe6JC5lgtZqLBV3VEQky4pJ9QYkw4Bl9lPkEIUDeHU8SZchQLQi6XC6tXr8b48ePRrl3b048cOYKtW7e2EWYA4JZbbkF6ejrGjRuHl19+GU6nE3PmzMHkyZMRGdkagfDoo49i6dKleOqppzBx4kRs2bIF7733HgoKCtzXmT59OsaPH49f/epXGDhwIF577TXU1dVhwoQJAID4+Hg8+OCDmD59OpKSkhAXF4cnnngCWVlZoo7SZket05tR4Z+hAssk3RpdY8OpWnGfGSl/HDnEnvGxsxcUXedv9w/A0B7SfhJKzRR827K6d8Qz+emiY/j1+/sLFkw9d6FZVQmPyrom7CyvQk19U9A7QCtFbKzpHYGkVAgChM09aspkeJ770l19JJN7Lryrj6k3h0rncIo4U45iQai4uBgnTpzAxIkTBb9ftWoVrrjiCtxyyy1tvgsLC8PGjRvx2GOPISsrC7GxsRg/fjyef/559zFpaWkoKCjAtGnTsGTJElxxxRV488033TmEAODee+/FmTNn8Oyzz8LpdCIzMxOFhYVeDtSLFy+G3W7H3XffjcbGRuTl5eFvf/ub0ts1BeT0Zl5YJun5o64FAFUTuVoKSyvwWvEhReec/VlaO9Li4nD2PJsGRUjjIDWhi+18iw46VQsyxQedWLX9mOGmHrMhNtb00m7afvkfJTUL7DZg6Rhxcw9vJvIdCyxRgSMyUrD8/v6Y/+lBOGuDfw6lqGHlUIkNCcxQYoPSrFsDFmE1UAJti4vDsEVbFAsPYrW4APZIIt5MobWmFQBBk1anDpGYsnY3qi/I1zBLig1HVV1wlstQS3x0Oyy6+zpR/69hi7ZoivZTo70DgL+N7Ydbr2sbeOOLlnDwUAkll3uOer6jWvHnM6FaYzphtCAkt6CZaUATbC91ICZjpfWg5MYRa2i5nsK5lNDocnF4fO1eyfM7xkag0sMfiWhF7hmJFRsVIiYiDBHt7G2yfo/McGDV9mNM7ekYG4EX78ygzZzOmKVorBT+3hiSIKQTRgtCWqtqE6EJaxFSHhvEJ0Yl2iW9JjEWLejeE9X4+9ZywfNtACYMTWVejEMNFsFXSvuXEBOOCUPSMCW7BwC0Eex3llcxzVtxUe3wf3NyJQufEuoxs0tFICwdStZvfeNWCV0hpzdCDUps/3K+GayRRHPze+OBoWm6mMNYsghvm5mNvlckYs4npV6RaPxEHx8dQYKQCHJRQ77+WsntIwEO7gzevjX0fOEDCOTGzUt3XUdCkB9hjTgLtMlQS6Zwf0GCkIkhpzeCFd+SCI64SKbQcBcHJMZGiH7PKmQnd4jUZdJSEvp763UpyEnvjP8tOYbjVRfQLSkG47JSEdHOjhYXx7QYhzJvbG0tLCu0ALJEKklpHPgAAjFzwyM3puHW68gc5m/knqMRWiMzhveTIGRiqFQG4YvQ7k0osiohhr1oqJSwE0hhvMXFYfuRM0zHnj7fIDiJv7mt3D2Jyy3G/oAXBa3gb/DFD2fwxQ+X+lvJAshSX08oyispNhwv3J7B5Bgd6vhbU8PyDP0hDJnR0kGCkInRkj+DuESwRIsILfxiyeJqGEp68Jw934gWF6eppplWYVxpwdP/HDqDD/f8JDuJCy3G/oQDkJveCUUHTwfk9/SEdQFUYr6UMs0Ey3vpD/ytqTHSPGVGSwc5S0tgtLM0j5md3sxOsPSdmqKgNgA2W6v5Sw6pPvF3BIreBU99nYFbXBzWbC/HgoLvdPoFce7udzk2f39a94KkgYIlElWPIA6938tgEqoC4UhsZCBOoML7lazf5KlmAUZkpGDbzGysmzQYS0ZnYt2kwdg2M9tSC7kRBEvhQbU1oDiwCUGAdJ/4s25di4vD/E/1rW/l6WMAtGpWHxiahpT4KL+X1vxw70+WFYKAtn0nhFbTht7vZWFpBYYt2oIxK3bgyfX7MGbFDgxbtMUy77cngaoTZqR5yoxFwUkQsgi805uSqtqhTDAVHtSjBpTccJHrEyFh/N8zhiM+OgKf7PsJJWWVqvpy6ZbDXtl+9cRzEmeZfJX4VQU7eviNJbePbPOZ3u9lsGx2eJQ4EmvBaPOU2YqCk48QEZSYMTJBCinVvh67MhYDuFyfeEagFJZW4KZXvtBk2igsrcDi4sNMx6rBdxKXK9OQm+4ImAnN7EgtgHJ+Yzx/eG8f5o+61ms86PlemjEMWyuB0tSYIRDHTEXBSRAighIzRiaIIecvoceuTImuRq5PNn17UjCzs5JoE34R8wdSk7jc5PvA0DS8ua1cU5kJK8OyAIbZbZibn47H14oXMgWAU7WNbcaDnu+l1TY7LARKU2OWQByzFAUn0xgRlBit+mWFRbXP794CtU+S6pNN31Zgyjrh8hZKTBt6mPuEkJvEpTRv/HcjMxxujYIQkUGaBJB1ASwsrcCCAnkhVmg86PleWmmzw4rcu25D6yZJD02N2cxTRkIaISIoUaL6NSriRIlqn9+9+cLv5sTC6JUgpw0oLK2Q1QKw7sL95RfkiI/C3Px0dIgMx6uffQ+gdcd5fWoSXv/yCFZvP+blzMxr3gC00crZfCqo8z5Env3cIaodzjfIF4A1I75FaVkquSuN8PMdD3qaZKyy2VFCoDU1ZjJPGQkJQkRQwjqhCCUjDFR4vVLHyHgBYSchJhwL7+qj2L9F6SSr1JTF78KbLrqwens5Pj/gxPnGZvTuHI9uyTH43x3HmK+VGBOO6gvNgm3mAEzL6YnU5Fh06hCF6rpGPL1hv1c/Lf3iiGhVdGdNAx4VEDCBSxF3t2Z0Bgcb/lXqbHPMzxYVggBg7m3XwhEXxbwAqo1eBC6NB/69FOpzpQu9Gfxc/IGcL5tcjielQo1ZzFNGQoIQEbTITSgADMmsysOqsi8+6MSq7ccEJ/vqXxZ8PkRcyr+FXxjm5qdjQYGySVapKatThygs3HSwTWHUQ6fqmK8RH9UOf7t/AAZf1VFQYPVtc6vGStpsx/q5J5tKT4l+Z2U/IkdclKIFUIs501crI6TBjI8Jx0t39WF+58zi5+IP1GhqgiVnmhGQIEQENWITCgAMW7TF0IgTVpX9x/vaZlDm8W0ny8IwIiMFeRnKJlklfhYp8VHY8r0TK/5zjPkcT/hWLPrNdRjaIxmA/MLQmo/ogKrfC0XU+Jmo8bXx1cpImdaUZEPn0aI9MTtKNDVGlcsIFkgQItoQTFlaAeEJpaSs0vCIkwHdEtv4aXhiA5AUG4FKj+rqcu1kXRiUqsOV+Fk8fWtv/F7EoZqFpNgIvHhnRpuJW6rNO8urmIrMEq2o0ZSo8bXhAMzN7/3L82nAgo0HJLVoajYfoe7nEoxpBAINCUKEF6GiXjU64oTvZykhCABuz+yCVduPyV7Ps53+WBhYcsfYbcDSMf1QoTH0fE5+b8VjzUqRQUaS+ItPmZp3mTV/kCe3XZeCBQXfMZnUtGw+AunnYraNYjCmEQg0JAgRbkJJvWpkxAlL5A2vwYmPjmAShHzbqffCIGV241k6pj9uvS4Fz35Squm3HPHRis+xUmSQUTxza29MHJametH2HAOsbPxWeWZnMwu1ZtwoGr2pCwaCMyEGoZhgKknBQiDzdXjCEnnTMTYC/54xHCMyUgxrpxBieUdS4qOw/P5WIQgAuiXFqLq+lnsZmJYER1zbkg7EJTrFRWrWXOSmOzA1pydiI8J0alVbzCrUmrWcRzCmEQg0JAgRAAJX48YsGFX4jyXyprKuCbuPVxvaTjFYCgCPy0pVfX219xJmt2H+qGsVn9c+MnSU4loXQr646eLiw6hratGpVZcIpFCvFCM2ii0uDiVllbK1/My0WbIqJAhZANYXQguhqF41IrOqmn5mbace44TlGnIFgMPsNsUaA0dcpGCfK7mnERkpWH5/f6biqQkx4ZiWczX2zM0NemFIj4VQTBsi9ntKMXu4e6A3irzQOWbFDjy5fh/GrNiBYYu2CGqdzLZZsiLBPQMEAYGySYeqejXQESfJsWzmG9/K3XLt1DpOWlwclm45LJp5maV2GN+2s+cbFWkMpuVcjSnZPdr0uZp74vvpr5sP47XN4gVd/3RHBm69rgsKSyvwc6N1kyKyomUhVJpI0REfhdHXd1VUUNfs4e6B3Ciq8dUM5jQCgcDGcSx1qUOT2tpaxMfHo6amBnFxcQH/fbEXgp/O9NRatLg4DFu0RTYZ37aZ2bSzUElhaQXmf3qQqbyEIy6yTeVuX3jho+iXhIu+sI6TwtIKzPpov2CJDpZrCAksLCRIJNDTMvZbXBwGvFAkWnKEH8v/njEcN73yhS41z2wA4qPboYWD6UpuTLohFc/kKzcb8pSUVWLMih2yx00Z3gNDeyR75emSmk+SYiMwJ783HPHRTJsPI6O1WPtg3aTBmoIU+HlYbEzKzcNmi2gzEiXrN2mETEqgc0MEc5ZWM6C0RpNQ5W7f68kJHyzjRK5dctdQel+eLBvTH0N7Jrf5XOvYX7rlsGTdNd6M8b8lx3QTggDgpbuvc2vtth85i6VfHNF8bT1Y8Z9jaHG1OjoLLYxyiyerlqNn5/ZeQoDcfCKUK0oMPTXjaoSFQJXz0BoKT+Uy1EGCkEkxIjcEqVf9g5oaTVILvhLhQ2qcsLZL7Bpqa0/xi8Zgn2t5mtbUjv0WF4fVDOkGAOB41QWFLRfG9/3gi4t+uOe/inLu+JNV249h1fZjbYQHFgFDrdlcr/lEz7QeagWqQG0UQ9FX0wyQIGRSjHohWH1mSAXLjtoaTUILvlrhQ2icKG0Xfw3+2W8/clbxfQktGmpNa2L35OnjJIXaMH8AmDK8O3p27iA69lnyLhmBp/AAiNfae/SdPZg4NBW56Q4M6JaoWhui1QdPT824VoEqEBvFUPXVNBoShEyKkS+EnHrVjEnFzIxWYdXzfLVCldA4UdquTh2iFPk5CSFUKFWtaU3LPSXEhGNcVqpkkVopEmMicNt1XSQXX7GF00h44aG1LptNMhzcU4s0qm8K3tharkobosVco5dmXC+Byt/BFYEywRHeUPi8STFrbgizJhUzM1qFVc/zlQovUuNESbtS4qNQXdeER9/Zo1oIuiW9s1fOIS2mNa33NGFIGiLa2THv1+mqhLAFBd9h6EubZce7Z96lKcO7q/gl/eEAOGsbmZ+js6YBb2wtx8M3pgU01QSgn2Zcz/B3ufQRWqBQeGMgQcikmPGFaLrowtMfl1o++3Qg8jJ5IifUiiG04CsRXuTGiZJ2zc3vjac37Gf+bSEG+eyc1Wi39LinhJhwTMnuAaBVUJk4NFVRG3ictY149J09eP6fByTHEb9w9uzcQdXvGA1/V59+U4F/zxgumUxTb/TSjFvJ98aI/GahDpnGTIyZnJcLSyvw9Mf7RYuEAtYo7meEWU+Nv4jngg+0hu+ePt+A5NhIOOKicKpW3pwjN05Y2sWHuHeICpeMxJLDbmubcVqNZkmPe3rprj5eQlRuuoOpnpsYYo7IvljZr4N/t3cfr2Z+t/XwI9TLVGQ135tA5zcLdUgQMjlmeCGU+nGYYVclhJFFZcWEWt7/4tNvKgSFXQBt8ookxIS7/RqEnsmDQ1ORIxIqzdquhJhwTBiS5k50+OpnP6i6b55JN7SaongKSyuwYOMBpnPn5vdGcodI5rEv1deeggq/UDtrG5AUGy4p5LMgN44GpiUhKTYCVXVNmn5HKzYAneMiAdiYBGpPWN9tvTYcekVrWdH3hkLhAwclVJTA6ISKcgQicksuwZcQWpOK+QOticr0bIfQMxP6vOigUzSpIIdWYcVTS6NFsyU3ll797Hss/aJM8XXttlYhaPat6e7PWAVrrc9E6p7URqrJIdfm5/95QJP2SSueCSkBuCvJsy4CLO+2PxLB6iFY8e0ChAUqMjsFF5RQMQQIlIlHiR+HGXdVPEbkZRJCbJfn+zlLkUcbOPzvxIGoutCkWRCW231mXZXMJAi9Nf56HDn7M45XXUC3pBiMy0r10gSxOkjr4Qcndk9aItXkkBtHWs1wWvE1LbJGtbG+2/5KBKuHZtxMrgaEuSBByIIE0sSj1Mxl1ogGKzlLAmwCaPWFi3jy3X34050ZftfADe7eETERYbggUUMsISYcw665DDf17iR6DKtg3T4yDBOHpaHxogslZZW6aTvlBDG+9MOovin45JuTqs1lvuNIbzOcGubm98YDQ9O8+tFTwCg+6MRKiVItLO+2PzccepiKzOBqYBYoF9wlSBCyGIEuvcHqPNgxNkJRyvxAYzVnSVaBrKquiVn41TLxFR10SgpBQFsnZCFY7+t8YwuWbL5UooLXdmpdxFgW6sq6JtxybQrm3HYtdpRVYtL//p/svfviOY78ZYZTQkp8VBshiIcXMLK6d8T1aUmaNCZW2HCQ7w3lgvOFBCGLEWgTj5yTIQAkxYajZPbNXiYQs2E1Z0mlApmc8Ktl4uOFbykSY8KRm+6Qbeexs+rKWvDZjrX6RbEuwNuPnMXAtCQM7ZmMv/y2Lx79xbdEDt9x5E8znBJG9U1hEhi1akystuHgCSXtiJFBI2bFvCsXIUigd1ye+YzEuGfAFaYWggBz5mWSQkmOH7lkcFqTYLKZ6Zplk9G1uDis23lC8hgx+EnbN4RfaSJP1gV46RdHMGzRFhSWViA33YFpOT0RHx0ueY5vyoPtR85i1of7DReCAOCNreXMfaQlYaBZE8FKUVhagWGLtmDMih14cv0+jFmxw/3sgw0W30Mr5ILTG3OvXkQbjNhxjchIwcM3pol+r2SSNRIrJSpjEUB9ERJ+1Ux8vgknWfP9sGT3VZuVWgyxe2i66MLK/xzFs5+UYuV/jqLpoguAMgGT10INeKEIi4sPo+aXGmbx0eHISktCfLS3Qp0fR0BryoP73vyaue5ZIAjEAme1DUeoZcrXM8N2MEGmMYthhImnxcXh02+kJwQ9/ZL8iZWcJXnBTS6RJY+Q8KvUlCpkQkuKldaESP2+J3oLQTy+97Bw00Gs+E85PNf8Fzd95w7j5/PSsFwXaKuFqqlvRonHQpEQHY4JQ1tzLomlPDCaQCY7tUp0VqD9Lc2AFXy4jIAEIYuhV4IxJZgl9FwvWJ0lzeA3MCIjBdm9OmPwws2iifikhF8lE5+Y74CcEMYqfJ8938jUFrU4axswZe0ebPy2rdDu4oC/by0HAMy+NR3LxvbHlHV7oIeC5Fx9M14rPoSendpjQYHy2mmBZPuRMxjQLRG7j1f7dVxbYcMRbPMaC1b14fI3JAhZkEDvuEJxF2GmqIqIdnb86c4MyWRwYsIv64SW3D4Sf3z/G6b8PmqE78LSCizdcpipLWp57tNSnKu/KHnMiv+U4w+39EJibIQuQhAPB+CpD7/Fz43Sv280S78ow9++LPO6d3+Na7NHZ4XivGa1oJFAQYKQRQnkjivUdhGBjqpg0TypFX5ZJz5wYArvTvQpEcEifAcqckpOCAJaNUP/W3IMyR0idf99swtBPL4CoBmjhQKhjQ21eQ0wxqJgBUgQsjCB2nGF0i4i0H4DSjRPaoRf1onvbB2b2Wpufm844qOZf581k7QciTHhqL7QLHgPSq99vOoC0rvEa2xR8GA2f5hAaWNDaV7zxCo+XIGEBCFCllDaRaj1G1Czg1WjeVIj/LJMfCVllUzXcsRHK/p9JSVaAGBaTk+kJsciuX0kwAFn6xq9aq+1deSOQKXCIqbdkmIwoFsi7La22pFQJZD+MHI14AKljQ2lec0XK/hwBRIShAgm/L2LMINjMqDOb0DNDjbQmie5ic9fu2PW/kyIDsdLd/eRHEe+95AcG4mvys5i2ZfsxWDtNmBcVip2H68mIUgAz+flj3dS6l3JTXcEPIorlLUjZvfhCiQkCBHM+GsXYSbHZKV+A2p3sEZErEhNfP7aHbP257L7+mNoj2TZ4/h7KCytwB8/+EZx2YpJN6Qhop09qBxg9cRzXOv9Tsq9K1NzrjYkiou0IwQlVCQUoSXrrBBmS2imJDOuliytZoxY8UfCSb4/5ai5wG7eEhszcuSmd8LsW1uT/QWTA6weeI5rf7yTcu8KB2D19nKma/njndB7XiOsBWmEDMIspiAjMWNCMyWakZKyStU7WLNGrEjtjtWM2TC7DXPz0/H4WukEhgsKvkNehnc9LKHfA6Da+br0p1q0uDiE2W1uAc3IQqhmwbc0iD/eSRZfMdYs3Mmx+kf8EaENCUIGYCZTkJGYNaEZq9+AFq2OURErLMKMkAlNy5hNjI2QbZfvcxb6vYTocOT07qxaePH8DV7gZS2m6ktMuB0Xml2qzjUaXwHf12neH++knlqcP7z/DeaPCq25Uiu+730gkmpaCRKEAgxV/r2EGc1DPCx+A1q0OkZErKgVZrSOWaXPWez3ztU344M9/2W6FktbRmSkYPn9/THro/1tymjIERXeDhealUWrmQUOl6LzfMe1v95JPTWbp2pDb67UgtB77xsxmRQbjhduz8Ct13UxoIXGQz5CAYQq/3pjVvMQj5zfQHVdI6TkFLlK24EsAqvW70OPMavkOeuVd4i1LSMyUrB7Ti6m5VyNyHbs02GVAp8ms2EDsH7Xjxj5y/ja+O1JlJRVosXF+e2dZPUVYyEU50q1iL33vt1WVdeMx9fuxcJNBwPYOvNAGqEAYlZTkFFYOaFZYWkFJq/dK7tgy2l1AhGxosUXS48xW82Q54cXGJXmHVJCUmw4nLUNKCmr9OrjMLsNT+b0xJTsHvjr5kN4/d9laLwYvAss/8wGLyz2qiOXEh+Fufm9Nb2TYqZXraZIsXsIlblSDWo2FX/fWo6+VyTi1utCS9NGGqEAYmZTkBHwkyOANlFaZk5oxjLB2G3AsrFsWh1/R6woEWZ80TpmW1wcFhTI7zLn5vdGmN3m17FfVdeMae/uw5gVOzBs0ZY2WrAwuw1Tc6/BwedHYlrO1UiIDvf6PinW+2+r41tM11nTgMlr92JU39Yxq/SdLCytwLBFWzBmxQ48ub5tP4/ISMG0nKt1vYdQmSvVoHZTMfeT0pDTtJEgFEDMbgoygkCah/SCZYJxcWxOwoFAizCjdcyyTsaJv0QCBWrsS5kEeQ3R7rm5WDdpMJaMzsS6SYMx97ZrA9I2o+CXvk+/qcCysWzvZIuLQ0lZJZ7/5wE8ymB6nZLdA444/aK+QmmuVIpaIbGyrklwUxTMkGksgFjZFORPrJbQzGqaPS3CjNYxq7SvAhXWzhIK7hs9x1qGxMrw2sHE2Ahsm5kt+U4KOeEKXc+3n+ePuhaP/WIiU6t3CNW5UglahESzzF2BQpFGKDU1FTabrc2/yZMnu48pKSlBdnY2YmNjERcXhxtvvBH19fXu7/fs2YPc3FwkJCSgY8eOePjhh/Hzzz97/c6JEyeQn5+PmJgYdOrUCTNmzMDFi96Vnb/88kv0798fkZGR6NGjB9asWdOmvcuWLUNqaiqioqIwaNAg7Ny5U8nt6o7epiB+N/bJvp/czo5WxUoJzaym2VOSJNIXrWNWaV/xvxeIpy9lEvSEf8+cNfVoHxkae8fT5xsk30klSS19+1lMC8yKmc3mZkKLg7pZ5q5AoUgQ2rVrFyoqKtz/ioqKAAD33HMPgFYhaMSIEbjllluwc+dO7Nq1C1OmTIHd3vozJ0+eRE5ODnr06IGvv/4ahYWFOHDgAB544AH3b7S0tCA/Px9NTU346quv8NZbb2HNmjV49tln3ceUl5cjPz8fw4cPx759+zB16lQ89NBD+Oyzz9zHvPvuu5g+fTrmzZuHPXv2oG/fvsjLy8Pp06dVd5Ye6GUKkrPHE/5Di2BhBFqFGS1jVk1f8b+XEBMYnxyp3a/nezbtvW/wc+NF0WODCamFUG1kn2/qgm0zs/GPBwe18cXyxXdYmtlsbibC7Da3v5cSzDR3BQobx3Gq1QhTp07Fxo0bcfjwYdhsNgwePBi5ublYsGCB4PFvvPEG5s6di4qKCrdwtH//flx33XU4fPgwevTogX/961+47bbbcPLkSXTu3BkAsHz5csycORNnzpxBREQEZs6ciYKCApSWlrqvPXr0aJw7dw6FhYUAgEGDBuH666/H0qVLAQAulwtdu3bFE088gVmzZjHdX21tLeLj41FTU4O4uDi13SSIlszSYnlW+LNpkvA//DMAhHMAmfEZaE3kqXbMqu2rFheHqev34J/fOmV/QwvrJg0WjDwSe8+CGd7ktG1mtuizLSmrxJgVOxRfW66fAeHxsWxsPyTGRlrCbG4mWlwchi3aosjMbIM55y41KFm/VTtLNzU14Z133sHEiRNhs9lw+vRpfP311+jUqROGDBmCzp0746abbsK2bdvc5zQ2NiIiIsItBAFAdHQ0ALiPKykpQZ8+fdxCEADk5eWhtrYWBw4ccB+Tk5Pj1Z68vDyUlJS427Z7926vY+x2O3JyctzHCNHY2Ija2lqvf/5CrSmIchEFBjmzoxWdvPlduKcD8LaZ2cxtVTtm1fZVmN2Gv44dgL+N7ac4YotvWUJMuCrNnb/zGZkRVpOTUv8Rrfm0br2ui2XM5mZCadRYionnLn+j2uC9YcMGnDt3zm3WOnr0KABg/vz5ePXVV5GZmYm3334bN998M0pLS9GzZ09kZ2dj+vTpeOWVV/Dkk0+irq7OrZ2pqGg16TidTi8hCID7b6fTKXlMbW0t6uvrUV1djZaWFsFjvv/+e9F7WrhwIZ577jmVPRIYKBeR/2HVnFjNyRuQrkAvhdbaeFr66tbruiAvI8V9bnL7SIADztY1olOHKFTXNWFBgffzio8Jx4QhaejZqT0mr1WevVtt6PGU4d0B2LD0iyOKzzUa3xIyYijxH2EVrqz4LpkdVoH1d1ndMDIjJaT7W7UgtHLlSowcORJdurSm5Ha5WuvuPPLII5gwYQIAoF+/fti8eTNWrVqFhQsX4tprr8Vbb72F6dOnY/bs2QgLC8Pvf/97dO7c2UtLZBSzZ8/G9OnT3X/X1taia9euBraoLVaLWLIaSstJqBUsrIRetfG09JXcuXkZDizdchirtx/DufpmnLvQjMXFh5ASH4Wc9E7Y/N1peDoB2GzApBvSRNuv9v0Z2uMyxecmxoSjWmGJD72Zm98bDwxNY1oIB3RLbFOiQYz4mHC8dFcfRfm0CH1gFVhHZqSEfL+rkj6OHz+O4uJiPPTQQ+7PUlJaB3p6errXsb1798aJEyfcf48dOxZOpxM//fQTKisrMX/+fJw5cwZXXXUVAMDhcODUqVNe1+D/djgcksfExcUhOjoaycnJCAsLEzyGv4YQkZGRiIuL8/pnNqwWsWQlyOzYFrWlOQJN0UEnXis+3KaCeUVNA4oOnm6zaLs44I2t5aLtV/r+eJp/lJ7rUu+mqRvJHSKZtQG7j1czCUEAEB0ehtx08TmX8B9WC+owElWC0OrVq9GpUyfk5+e7P0tNTUWXLl3www8/eB176NAhdOvWrc01OnfujPbt2+Pdd99FVFQUcnNzAQBZWVnYv3+/V3RXUVER4uLi3EJWVlYWNm/e7HW9oqIiZGVlAQAiIiIwYMAAr2NcLhc2b97sPsaq0OD2H1oyMAcbLS4O2w+fxawP9zMLhkalc9DizyMm2Mq9Z75wAEZf39XrXFZq6o2PRFMivCnReIXK+2JGrJq53wgUm8ZcLhdWr16N8ePHo127S6fbbDbMmDED8+bNQ9++fZGZmYm33noL33//PT744AP3cUuXLsWQIUPQvn17FBUVYcaMGXjppZeQkJAAALjllluQnp6OcePG4eWXX4bT6cScOXMwefJkREa2ZiR99NFHsXTpUjz11FOYOHEitmzZgvfeew8FBQXu35k+fTrGjx+PX/3qVxg4cCBee+011NXVuc12VsWIquWhApkdW2FJlAd4C4bVdU2Y80kpqjzqiqkxn7Hi6bN09nyjKn8eKX86NbWxFhe3muYmDE3F3PzeeHztXsVtCjRqEhMq1XiZ4X3R6uNmVXhHdN/3mdUfLFRQLAgVFxfjxIkTmDhxYpvvpk6dioaGBkybNg1VVVXo27cvioqK0L17d/cxO3fuxLx58/Dzzz+jV69e+Pvf/45x48a5vw8LC8PGjRvx2GOPISsrC7GxsRg/fjyef/559zFpaWkoKCjAtGnTsGTJElxxxRV48803kZeX5z7m3nvvxZkzZ/Dss8/C6XQiMzMThYWFbRyorQgNbv9AZkd1IeMr/lOGLd+fafN5hYhflR5tZBHUWNFzoT5X34zFxYeREBOOX1/n8HvovxbUbpyUZv82+n3Ry8fNqpAjujya8ggFO/7MI6QHobrL8Rd83g25chJSOVbMhpIxoibvCAspOvaZP3L7COW30asvwsNsaG4x5xSrRRgoLK2Q1ZaZ4X1Rm3ON5lbro2T9Do188UEKRVnoS7CZHaV2wkI7RDUh4779JITWdA78ouSsbcCCjQd0E4KkzEI7jlbqIhCaUQhKiA7Hsvv6Y/BV6nPyjMhIwfL7+2PWR/txTiDizQzvi1zwg1ituVDXIIUiJAgRhAfBYnaUSgPw6Dt7kBAT7rWApcRHYWSG8uge1mVezvwktgPX2wzGI7VQF5ZWYNaH+3X9PbNgA/DS3X0wtEey5mvxJpelW45g9fZyr4g9sfclkJoWNTnXlKbPIIIDEoQIwger2NTFFhWWNAC+u3hnTQNWbT/G/NtJseG4M/NyrGQ85/Cp8ygpqxTsR7Ed+Ki+KXhja7kmDRB/nU+/qWASbIO5rIY/tBphdhuezOmJKdk9ZN+XQGtalAY/qNUgEdaHBCGCEMDsZkepRSU+OkKxBoWf6Pn/L8ecW9NRfaFJ/sBfWPpFGZZ+UdZm4RMTPCpqGvD3reXM1/fkmVt7oVNclNeC/NSI3rILdTCW1RDqCznUaG3k3hcjNC1Kgx8oa3/oQoIQQVgMuUVl4tBUVddVIgC8sOkgquqUZ0P2XPhy0x1+ETzSu8S3Mf2wCLZqy2qYmU5xUbg983Lm4/2htTFK08JHt8kFP/A+YpQ+I3Qxvq4FQRDMsJi9Pt73k6bfiIkIkz1GjRAEeCdi1Msh2ZfT5xuZjvNNAOmsqWc6LyEmHMvv74/l9/dHQoyyYrCB5tjZC+7/L5fw0l9ZxI1KVKo0oaBZ02cYlag0lCCNEEFYCJZFpaquGUmxEaiua1KlbXnkxqvwWvFhwZBjPaZgfuErKavU4WptWbDxAKLD7ZIajMLSCsz/9CCctZf6Mik2gun6y8b0x9CerRon3ln4ja1lqGtq0dZwP/Ba8SFc42gPAJKaHn9qbYzUtCgJflCqQQoEFMEWGEgjRBAWgnWxuCOztRiykiWLL88yJbsnXr+/f5syEayCAitHz5zX9Xo8VXXNkhoMPgeOpxDUep60zxPfP4M9TGy8s/DeZ2/RvX/0YvZH+/GojKbHn1obozUtIzJSsG1mNtZNGowlozOxbtJgbJuZ3UaQMFtJikDU+SNtUyukESIIC8G6WOSmOzAwLanNbpKvdC6XJ0kocs5ZU49p732j271sKj0lf5AGnvvnQWT36ozdx6vd9zCgWyJmfaQ8NF5uIYxoZ8ef7swwXcQZB4hWtvfU9Dw1ohfT9dRobcygaWENfjBL+oxA+FWRtukSJAgRhIVQsqiE2W2CaQCKDjrbTIBJsRG4PbML4qMj0OLiEGa3tVk89DJl2QDYbGCuYK4GXoMxeGGxlz9Tok/+JDF4gZGHZSHkF9GnP96v2ocq0PD9VPUzm1+VGq2N1RKVmiF9hr8j2ChfkjckCBHMUNp541G6qAjthD0n+uKDTny87ydU1jVh1fZjWLX9mOiuUE4IY4UDEKjCPr4CiZh2xJexg67EsB6XKR7rIzJSkN2rMwYv3CxrajMTSbERirU2SuYDrZqWQM89RqfPYNW8bT9yVnFfUL6ktpAgRDBBalTzoIf6PsxuQ019q/DDuisMs9swNz8dj69lr8huVWyAooXQd6F+4fYMTP6ln8xkKhPDER+tSMAWmg+SYsPxwu0ZuPW6LoK/oVbTEopzD6vmbekXR/Dhnv8q6gvKl9QWEoQIWUiNaj60qu/V7AoLSyuwoOCgbvdgZrKuki5B0eLisONoJUrKKlF25jy+Lq/20gClxEfh4RvT2mS0NoKE6Haoqb/IZEoVErB9zaZFB52C80FVXTMeX7sXj/z3HGbfmi7YFqWallCde5RoX5X2BeVLagsJQoQkpEY1L1rU90p3hcFcesIXG4DrJRx3C0srRIuN8jhrGvDG1nIsG9sPh0//jMXFh/3QUjZu7tUJH+49yaTpkTObOuKi0HCxRXIc/H1rOfp0ScBtmcKaIVZCee6RMoH7orQvjI7iMyMUPk9IYlQyNMK/KNkVypWesKHVudgRF6m4HWZcvjgAu49XC37Hh97LOVzzfbWg4Dus23lC3wYq5MO9J5EQE454n+SPjvgoQS2Cp9nU18fKWdvA5Gz++3f3YtO32sK7Q33u4U3gjnh5gURJX/DaJrF3j08TEch8SUZDGiEDsYLzMalRgxMlu0KWBan6QjP+8dAg2G02bD9yBku/KJO99rScnli/60fDTUdCCI3nFheH+Z+ymwb5xckM1PwivEzLuRqpyTGS840eNddcHPD42j1YbldvuqK555KGbnHRD0zvFEtfWC2KLxCQRsggCksrMGzRFoxZsQNPrt+HMSt2YNiiLbokydITUqMGJ0p2hawLzdmfG5HVvSOm5V7DdO0p2T29Et3946FBcMRFmkJLJDSed5ZXtUnCaBW4X/6t3l6O5PaRkpsuPWuuPffPg6qT9NHc00qY3YahPS5jOpa1L8S0TWJawmCHBCEDCETGUL0gNWpwoiSL7rGzdUzX5CdhJdfm/Zxuz7wcQ3skY/6oawXPCxRS4zkYNA/n6ptx35tfS2669LxPLaYrmnsu4Y++YM24HQqQIBRgWIpmatlF6Y3Z0s4T+iG3K8xNd2BJ8SFZR1+hSVjtjpM/r7MKfyO+LTa0FkZVOiLlxnMwaR6kNl163+f2I2dUzWc091zCX33huRHJ6t4xJPpSCBvHBSq1mfWora1FfHw8ampqEBcXp8s1S8oqMWbFDtnj1k0abKocDqGYyyNUEPJV+6y0As9sKGVKQGgDRIUbtX5w24+cxX1vfq34XvgxCQCPvqMs35HQePZsf3L7SDz+zm7UNFxU3C4zwofOb5uZ7fVMWlwchi3aojlxpidJsRG/5BhSPlfQ3HMJ6gt2lKzf5CwdYKzqAGiGtPPBhlmc5X3D8BduOoi/by1nPn9qztWik7DaEP+zjCUfACAuqh2eG3UtHPHR7j5scXFIYCynAbQ6EU/J7uHV/0KLji2IhrtY4jwlodusVNU14fG1e/DIf9NEcwyJQXPPJagv/AMJQgHGyg6ARqedDybMurPb9G2FIiEIAGrq9S8loWT8/2bAFbiz/xVen+0sr2IWgmwA1u86gSnZPdyfieVNCkb9udCmizdR/vH9b/Fzo34asL9vLUffKxJEs0+LQXPPJagv9Id8hAIMOQASZnWWb3FxmPNJqeLzVm0/pnubB6YlISk2gunY3HRHm8+UaFR9c7DoET5uJcSEztx0B8L8oGiY80mpaXwgCQIgQSjgkANgaGNmZ/md5VWqCoXyWW31bHOY3YYXbs+QPU5s06BGo8oLT3qGj5sZuU3XzvIqv/hDVdU1B20SRDlaXBxKyirxyb6fUFJWiaaLLq+/SUA0BjKNGYAeRTMJa2Lmgodq/dL81eZbr0vBI/9NEzXV2SC+aRiYlgRHXJSivD+88GQ2/zx/wLLp8mc/hEIf+yJkDrfbWpNP8pjBPB6KkCBkEOT0FpqY2Vleq1+as6YeJWWVuo7n2bemo+8VCZjzSalXuQe5BSPMbsOYgVdicfEhpt/x1IyY0T9Pb1g2XcfOXlB83faR7Zh8ikKhjz0R8znzVQAFezFZs0KCkIGQ01vw4xsZltyeLT+OEQsF77+m1iy0oOC7NhXY9djd3npdF+RlpCjeNKQmxzD/hqdmZGBaEhKiw3Guns3Z2kokRIdj2X39Mfgq6ZwxhaUVeI1RiASAjrERePHODLhcraU1pAg1H0glPmfBXkzWrJAgRBB+QkgV7oiLREJMOGouNAtOjHxuFyMWCs+waTWeCr7+RXrubuU2DUKpCJQIk3tPVHu18WIQ+mrYALx0dx8M7ZHs9blv3w3olqjIWTwpNhwls29GRLtWl1O15sxgRanPmZHm8VCFBCEiaDBLXh5AXBV+qrbR/ZkZCx6K+a/xJg8leWUCtbsVS0XwzMheSIqNYHIA9wzr3llepWvIuBlwxEVi/qhr2wikQn2XFBvepuq8GDYAf7qzj1sIAtSbM4MVtWbuUPSjMgoShIigwEx5eeQiw2wA4mPCEdUuzMuZ1yzO8mL+a0UHnYoXTX/tbnmht+igE6u2H2vzfUVNA6as36fomnM+KUVeRkrQLUDtI8Pw7G1tx5WYsK5ECFo2tp/geFVrzgxG1Jq5Q82PykhIECIsj9iEbpTjIUtk2LkLzfjHg/1ht9tMuVAImaKEBCRnbQOmvbtP9np6CheFpRWY/+lB3SvB82HdwbYA1TW2YPLavXjdbnM/P2dtAxZsPKApVxIHIDFW3OeNfCBb4X3vWEuWGGkeD1VIECIsDYv2JdCOh6yL/tm6RtyeebmfW6MvvovbEkaHWr2Ei8LSCsU1xJSw/chZdL8sltmkZgX492DWR/t1FyCDTXvmD5SULDGDeTwUIUGIMBwtvj1mzMtj5TIqPCzPpMXFYd3OE7LX0iNKqMXFYcfRSkx/7xtN15Fj6RdH/Hp9o+C1kIC+kXBmHsNmQsz3zjePkFnM46EGCUKEoWj17TFjXh45Vbga1XcgHcFZn0mriUW+OOro669U1Vb+nosPOvHxvp+YfVcI/0PmG+UImZYHdEvE7uPVpjSPhxIkCBGGoYdvjxm1L1KqcDWq70A6git5JqzCpZJ8Pp7t8L1nInDYACTEhKNaoHAtmW/UI+Q3RX5UxkO1xghD0KvmllmL2PKqcEe8twDmiI9S5LwdyAKtSp+Jv4RQsXsmAgP/Li28qw+W398fKRrHcKjjW1+M6omZD9IIEYagl2+P3toXPdFaRiXQjuBKn4m/TID+rvyeEN0Oy+4bgLM/N+LwqfNY+kWZH3/Nevj6qVApIPWYKa0HIQ4JQoQh6OnbY+YitlpCiAPtCK70mfhDCA1E5fdz9Rdht9lwe+blKCmrDHpByBEXiYaLLsls5kmxEZiT3xuO+Og2gg6FwavDbGk9CHFIECIMQW+zSjAWsQ20I7iaZ6K3EBoop3b+d5TmePElPMyG5hbzmTrm5vdGcodIr2SYUgLri3dm0KKsI2ZM60GIQ4IQYQj+MKsE28410I7gLEJBQkw4XC4OLS7OPYHrKYQGyqmd/x1PrZYazCgEAUByh0ivHFUsAquZStRYHTOm9VBCqI0FEoSCECsMYjP79pgFfwiLUrAkfjt3oRn3rfy6jZ+DXkKoVg0NS8I6vs/496TxogtTc3pi1bZy1DQER40xIYFSSmA1iy+LFeYuFsyY1oMVs4yFQGLjOM6cWxoTUFtbi/j4eNTU1CAuLs7o5jChxyA2Y86aUIX3MwCEhUV/+BmwhK774/d964dJCTUp8VEY1TcFn35T0WbsjOqbgjd+qX4u1mcABOqm6ZtNmm9/Qkz4L8kMA4PdBiwd0x+3XqcsMtG3r/05xsTaESxzQUlZJcas2CF73LpJg02lETLLWNADJes3CUISWE0Q0mMQGzEZBcsu0F8Y9Ux2HK3E5H/swbl64UWc165sm5kt+7zknrHQPfpm3e0YG4HbM7sgN93hPl/sulJ9BkD0PdEyGcZGhKGuqcXr9+bm90Z8TARKyioBcBiU2hEzPvxW9zppQvxtrLQwpPcz1kIwLcBAa98OW7RFVpvr735VAt9msQ2QGdssBQlCOmElQUiPQRxsk1EwYYSwqNeuVk6QExt3PA8OTUWOh/DDilCfAZB8T7QweXh3DLkqGSVHzwKwoZ3dhvW7fvQSelLiW7MJb/xWv/xPYrRqhvrh1uu6tPlOacJKJZoLpWM12BZgHiO0uVqwqhZLDCXrN/kIBQlanfMoysHcGOEIroefg1wI8bKx/bGgQDxvkA3AplInns5X7i8m1GclZZV+C88Pt9vxxw++kbx+RU1DQIQgoFWb9vjavVhut3ktuHKCpxCsY0GN9tLqjsVimCGthxKh1Mp+TVohQShIUDKIhV6OYJ2MCPVojVpjEa7nflKKSgm/HKNyJSklNjIMr20+7Jdra8VzA6M2YSXLWFCbNyeYF2Aj03ooFUrNWK4oUJAgFCSwDs5jZy+0UUOnxEdhZIaD6XwrTkaEOtRGrfGC9vYjZ2SFaykhyBO1485X6E9uH6nqOnKYWUfqKUgqTVjJGpmoRaMc7AuwEdpcNUJpoKNUzQQJQkECyyCOjwnHa8WH2nxfUdOAVduPMf2OVScjQjlqUhz4q1iqmnEn1BZHXCQSYsJFsyzLYbMBQl6VPze2tP3QRPCCpBKBUkkaCy0aZZaUCUmx4RjQLZG57aGMWqE0lFOaUNHVIIEfxEDb3annoJaa/KXGt1HFSwljkSsem5vucBeUXFJ8CI+qKJbaISpM9Du1406scOup2kac+0UIEnpPhP4//7cNwLIx/TAtp6eitpgBXpBUIlAqKa6qxbwlNXfxVNU146ZXvtC1yHCwokQo9UWvYtFWgzRCQYSUc97o67ticbG0DwMfqhxquwFCGjE/h6KDTs0RWHYbcL5BWJuidtyx7IjjY8IR1S7MK6LL4RFeL+bgmpvuwIJFW5jbYhZ4bcrAtCTZvEYJMeFYNqY/BnfvyNzvWs1bYnOXJ1Sjiw2tPlfBWK5IDhKEggyxQfzpvp+Yzp8wpBsKD5wyXfFSwj+wRpX4+jmoiTwSwiVxAbXjjmVHfO5CM/7xYH/Y7TbBexdbCPwZdeZPdpVXYWjPZBQddMomd3zprj4Y2jNZ0fV585Zc31TXNYp+NyIjBdm9OmPwws2CiS0pepUNPXyugq1ckRwkCAUhQoOYNWPuFYkx2DYzO6R2A6GK2kSNaiOPPPFNluhLx9gI/HvGcES0syvOS8O6Iz5b1+hVj8sTsYXAqsECJUfPYnD3jnjunwclj0uICUduOlvghCdhdhvm5qfj8bXSNdsWFHyHvIwU0ee3+3i15FxF0avyhLLTs1pIEAoRkhijZZLaR4bcbiAUURvqDMhrXKSYMrwHEmPCsaDgO8njKuuasPt4NWrqmxQLa/6MQrJusICN6bmdu9CsWshIjI2QPUZOiAnmUPpAEcpOz2ohZ+kQwRHHNoGzHkdYFzkfGqDV/NAiorJRuwilxEdhWu7VSO7AJpQXH3QKOjzzwpqY4yy/I5aa5pNiw+GsbUBJWaXofaq9thnJ6t7R70KGHtcP9lD6QBGqTs9qIY1QiMBiw6eosNBAa/JMtbl4Rl9/JcLsNuZF7ON9P6nKSyO1I+apqmvGtHf3AVBWt42/9qPvSJuAzERiTDgGX9VRMEpICLVChh5CDJl19CMUnZ7VokgjlJqaCpvN1ubf5MmT3ceUlJQgOzsbsbGxiIuLw4033oj6+nr394cOHcLtt9+O5ORkxMXFYdiwYfjiiy+8fufEiRPIz89HTEwMOnXqhBkzZuDixYtex3z55Zfo378/IiMj0aNHD6xZs6ZNe5ctW4bU1FRERUVh0KBB2Llzp5LbDSr4CZwPA/aE/4zUpaGBlp17YWkF/vDePlW/m5ocA0Beq2JDq49QVZ24U69UCDAgviMWQk7D5EtuugMJMeFMx5qBB4akIcxuY+p3qc1Qi4tzp0oQ0qRpvT4gnwYEoHlKCbybw+2ZlyNLQRRgqKFIENq1axcqKirc/4qKigAA99xzD4BWIWjEiBG45ZZbsHPnTuzatQtTpkyB3X7pZ2677TZcvHgRW7Zswe7du9G3b1/cdtttcDqdAICWlhbk5+ejqakJX331Fd566y2sWbMGzz77rPsa5eXlyM/Px/Dhw7Fv3z5MnToVDz30ED777DP3Me+++y6mT5+OefPmYc+ePejbty/y8vJw+vRp9b1lcUhdSgDqd+68X5GzVjzyh+V6LIvd7ZltC4UKISXUjchIwbaZ2Vg3aTAW/7YvkkR8WFjMgZ7sLK+SjbwyE7wAqkXIKCytwLBFWzBmxQ48uX4fxqzYgWGLtngJj3oJMTRPEYFGU/X5qVOnYuPGjTh8+DBsNhsGDx6M3NxcLFiwQPD4s2fP4rLLLsPWrVtxww03AADOnz+PuLg4FBUVIScnB//6179w22234eTJk+jcuTMAYPny5Zg5cybOnDmDiIgIzJw5EwUFBSgtLXVfe/To0Th37hwKCwsBAIMGDcL111+PpUuXAgBcLhe6du2KJ554ArNmzWK6PytVn1eCEZXMCfPAV/uWMz94VvuWqxAuhVj1cKmotfjoCF0rYetZWfv5fx5gzsTui5ipzp/43pPSaEExx3qxKupqoxF9oXmK0EJAqs83NTXhnXfewfTp02Gz2XD69Gl8/fXXuO+++zBkyBCUlZWhV69eePHFFzFs2DAAQMeOHXHNNdfg7bffdpu1/v73v6NTp04YMGAAgFatUp8+fdxCEADk5eXhsccew4EDB9CvXz+UlJQgJyfHqz15eXmYOnWqu227d+/G7Nmz3d/b7Xbk5OSgpKRE9J4aGxvR2Hhpt1tbW6u2e/yCXhMDRYWFNmqiStRGiklpAqR8GFpcnK6+Ino5Cre4OGzYd5LpWp7EhNsxMsOBD/cqP1ctYn0k1u9Aq8Do+5nScg16+abQPEUECtWC0IYNG3Du3Dk88MADAICjR48CAObPn49XX30VmZmZePvtt3HzzTejtLQUPXv2hM1mQ3FxMe644w506NABdrsdnTp1QmFhIRITWzOfOp1OLyEIgPtv3nwmdkxtbS3q6+tRXV2NlpYWwWO+//570XtauHAhnnvuObVd4lf02mURBCCdhVxoTLEKEgnR4ThXf8lsJJcUUWyx0zsEWK9opJ3lVcw5uTy50OwKuBAEiPeRUIJMofll9PVXqnKsJyGGsBKqBaGVK1di5MiR6NKl1ZbvcrkAAI888ggmTJgAAOjXrx82b96MVatWYeHCheA4DpMnT0anTp3wn//8B9HR0XjzzTfx61//Grt27UJKirEL+uzZszF9+nT337W1tejatauBLWpFS84XPSAVdXCiZOfOKkgsu68/7DbhbM1q2qdEWJOCpbREYky4rIbJKvlrOsdFYv6oa5n6SGp+WVx8iOn3rNIvBCGEKkHo+PHjKC4uxkcffeT+jBdi0tPTvY7t3bs3Tpw4AQDYsmULNm7ciOrqarfN7m9/+xuKiorw1ltvYdasWXA4HG2iu06dOgUAcDgc7v/yn3keExcXh+joaISFhSEsLEzwGP4aQkRGRiIyUl1osL9QW0lYL0gTxY4VBUbWnTtrWPPgq/SNTAlkCLCc706Li8PZ8+ocxQPNK7/pi3Zhdnyy7yfJPmPJKcUC5fUhrIwqQWj16tXo1KkT8vPz3Z+lpqaiS5cu+OGHH7yOPXToEEaOHAkAuHDhAgB4RZHxf/MapaysLLz44os4ffo0OnXqBAAoKipCXFycW8jKysrCpk2bvK5RVFSErKwsAEBERAQGDBiAzZs344477gDQqrHavHkzpkyZouaWDUNrzhctGK2JshJWFhiFBDgAbT4zKlutHmYWlkgv36zKLS4OO45WoqSsEkfPnEfJ0UpUX7goeQ2z8MS6vV4myqTYCLxwewZuvc57LGrJEg5QXh8iOFAsCLlcLqxevRrjx49Hu3aXTrfZbJgxYwbmzZuHvn37IjMzE2+99Ra+//57fPDBBwBaBZjExESMHz8ezz77LKKjo7FixQp3ODwA3HLLLUhPT8e4cePw8ssvw+l0Ys6cOZg8ebJbW/Poo49i6dKleOqppzBx4kRs2bIF7733HgoKCtztmT59OsaPH49f/epXGDhwIF577TXU1dW5zXZWwaiU80ZroqyElQVGIQGOz5HjKTjwQp1epio1aNG4KX2PCksrMOuj/ZYKk/fEUwgCWmsNPr52Dx75bxpm33pJa69k3qByDUSwolgQKi4uxokTJzBx4sQ2302dOhUNDQ2YNm0aqqqq0LdvXxQVFaF79+4AgOTkZBQWFuKZZ55BdnY2mpubce211+KTTz5B3759AQBhYWHYuHEjHnvsMWRlZSE2Nhbjx4/H888/7/6dtLQ0FBQUYNq0aViyZAmuuOIKvPnmm8jLy3Mfc++99+LMmTN49tln4XQ6kZmZicLCwjYO1GbHqJTzRmqirISVBUYxAU5o8fcU6tQU5dVqNtSqcVPyHhWWVvg1c/TUm3ti/a4f4awNvF/N37eWo+8VCbj1ulbfTtZ++U3/y7HtyFmvHFKBEoC1YEVzNRF4NOURCnbMkEdITc4XPfhk3094cv0+2eOWjM4UreAdCuiZnyaQqMkLpHasaRVilOaxEYL1Pfr3jOG48eUv/CakJMaE4//m5KLFxWHQn4pRbYDGKSk2HLueyXWnKZDqF08ccVEYM/BKpCbHWEKosLK5mtCOkvWbiq6aHKNSzlPxQzasWi1bjW+IXFkLIXghRmnhVB6tBWJ5WN+j3cer/aqpWXhXHwDA/5YcM0QIAlrrrPHPUKpffDlV24DXig8hsp3d9OUatI47IrQgQcgCGJFyXo+6QaGAVQVGLYIZ67l6CDFKTLRytbDE3qPE2HAsG9sPIzJS/CawpsRHYfn9/QEAwxZtwYKC7/zyO6x43ueIjBQsG9sPibHS9dP43pz/6QFsP3JWtJ+NRi/hmQgdqPq8RQh0JWG9E9oFK1atlq1FMGM9Vw8/M1bBpPigE9Pf2ydrBhmRkQKXC5jzSak7MWJVXTMWFHwHu92muF9sAOJl8hNNy+mJKdk9UXTQKWjiMwLP+ywsrcCCgu8ki9zycACctY24782v3Z+ZzdxE/o2EUkgjZCECXUmYih/KY9Vq2XIaPzGUaAH1MBuyCiYrtx9jMoMUllZg8to9bbJD88dW1zXBEccuDMkJNTYA63f9iKaLLjz98X5TCEF2G1D9y/2LmZCUYDZzk1XN1YRxkCBESOJZwXvJ6EysmzQY22ZmkxDkgRUFRk8BTgmBLmvBYqIVa46vGYTFZLKg4CCeva03U7tT4qMwLaenpDaI1z4M/FMxk8YlELg4YPLaPdj07UnR/lCC2cxNVjVXE8ZBpjFCFqobJE+gTZd6wAtw8z894BUWLYTdBiwd009xWQutZkM5Ey0HQCru1dfBm8VkkhgbieX398f0977BhaaWNm0e3usyTLqhOwamJWHjt2z1w843mC8RY6t5UB/hzEzmJquaq4MBq6YrII0QQehEoE2XejAiIwXbZ92MaTlXSx73++yeyFOo2dLLbCilcZs4NJWpLduPnGGOBuNNJvU+QhDPF9+fQU19E8JU+BSZBQ7wi4bKDOYmq5qrrU5haQWGLdqCMSt24Mn1+zBmxQ4MW7TFNCZTKSiPkARmyCNEEIFCKO+KJ2qdYvXK5yK029xZXsWUxwlozZ/Dsvj/46FB+OP734j2g2c+JQDMeXhCATPly6I8QoFDj1xfeqNk/SZBSAIShIhQo8XFYemWw1hcfLjNd1omNX+pzJUkBJSDF3Be/U1f3Lfya9nj+UWfXwQAZYVKzUBSbASq65p06zu9E7tqxaqmGishl5zVqLFBCRUJglDN+l0/Cn6uxSnWX2ZDtU7fUiaTs3VsFeZ5M5CY6a5jbITidgUKPg/YC7dn6HItwJzmJiuaq62GknQFZoUEIYIg3FhxUhuRkYKHb0yDTcEal+gjpHhG+KmJOhKKriyZfbOqFAX+xlNwufW6ViEuSSaZoidJEn1HhB7BkK6AosYIgnCj56QWKLNEYWkF3tharsi8Mze/Nxzx0YJtUxt1JBRdyUe8mQnfYqkjMlJQ3+zCtHf3yZ6bEB2OHbNvxu7j1WRuIgAER7oCEoQIgnCj16QWKEdVqdxAUjjio0WdevXMqs6bzZ7+eL/heYQmDOmGW65NERRcWJNIThiaiohfao0RBBAc6QrINEYQIYRcPS49aswFsuClmuKxLNmx9UySOSIjBTtm57QxKQWawgOn3GH/vrBkGk+MCceU7J7+ayBhSYIhXQFphAgiRGDR0khpQ/DL36Ov7yr6G3LZm21odbbOTXfoMjGq8TtQos3RK0lmRDs7/nRnhqG1xnhBVEiQ45/7oxJmvIV39TH1YmYWQjFSjd84+M4vvmZYs0KCEEGEAGJ5PoQWR7FJjWdx8WGs3/Wj4AQX6IKXSvwOWrNjK9Pm6JlVfURGCh66IQ0r/lOuy/WU4g9BlPAmlHMXWTG7Pg+ZxggiyGGpseUbEs9HQYllnBYzcwU6gkRJ8dj/d28mbr3OmMWoxcVhcdEPeNMgIYhHLOqPHyNi8AKUGWqJmZVAmoTNilXTFZAgRBBBjpaQ+PW7ToieA7RdHAMdQaIkj9CcTw8YshgVllZgwAtFWLL5iGkSLvoKolZMm2Am1Gw2CPNAghBBGIycA7NW1Gpp1CyOejhby+HbX7npDiwb21+0Cj3PuQvNftmZSz0/XksgVaHeCI6drfP6OxhyweiB2neRBElrQz5CBGEggfApUKulUbM4soaeA0BJWaViXwKx/hp9/ZVgWbM46OsjI/X8ctMdqkL7A8G6nScwJbunuw+CIReMVrS8i6zvCmvhXyKwkEaIIAwiUD4FarU0ahdHudBzAKqqVEv11+LiQ0xtBVp35mu2l2vWvMk9v6VbDisO7Q8UztrGgGvyzIzWd5H1XVmw0RjzLCENCUIEYQCB9ClQm+dDy+IoVHKCr9auZsFh6S8lLCj4jkn4EoOlPau3H1N17UBx+nyD2xS08duTGH39lQCsmwtGLXq8i6xO+1V1/jHPEtogQYgwFf72lzELgfYpUJMgUGuiNN8IEgCSCw4H4JmPS9F00dXmezWJE+Vg3e0LjUmW53eu3lx+Qb4cO3vBSzO3uPgQ4qPDERvp7TER7LXE1L6LnuNiZ3kV5ub3BtD2XRGCHKfNBfkIEaYhlHJwGOGcqibPh56J0liEmcq6JgxeWIw/3dnH69r+cNJlyasjNiZHZjiYfiMhOtx0ApENQHxMOF4rPtRGKPVta1JsOObm9w66988TNe+i2Lh4+MY0vL/7J1TVNYleR+9cWoR2SBAiTIGShH/BgFHOqWoSBOqVKI11weHNB57PnLUfpuX0xOqvjjFHaUktSlJjchWj2Wv8kFQs2XyY6dhAwfn8V4rqumZMXrsXr9ttQfX+eaL0XZQaF29sLccDQ7ph9VfHZa8X7BF4VoJMY4ThhGIODjM5p7KYI/VIlKZUqPN85qz9NSW7J3bPycW0nKuREB3O/Fu+i5JePkkD05Lw4NBUBWcEBiWCIhB8758nSt5FlnHx6Tds/j/BHIFnNUgQIgwnFHNwmKVQYWFphaoILjUoyQLt+8z5/hKrbg1c6q8wuw1P5vTE7rm5+E3/K5ja5rso6eWTdPbnRuSks5nRzEowvn+eKHkXWeaqyromJMWGm2KTQ7BBghBhOKGazE3PCudq8Gf4vpCWSUkWaB7fZ54Q01bLEx8TLtpf246ckf0NoUVJr7HGmxFT4q2/+w+2988T1neRtQ/uzLwcQOhF4FkV8hEiDEetv0wwVHk2qlChP6vEyzm9v35/fzz9camkQymPnF8GANSImHl2llfBWdso+xujr7+yzT1qNVvY0LqI8s9SrrK7FTh7vtEt0AYjLO8i67jISXfg+rQky1ZjDzVIECIMh98xO2saRE0fDp9dezBFmOlZ4ZwVtVXi5YRPVqf37F6dMXhhMarqhIUYz2cuJbTxCAltrLv35hZXmwWeZUzGx4S7hTCxDNr8NUdkpGBaTk8sLjaX47Rv9m8pFhR8hze3lVvyHWNF7l1UMleF2W2WrcYeapBpjDAcpf4yVOVZO2pDhqX8iZQ4vUe0s+NPd/aBDfr4ZQj5sLDu3pd+caSNXxTLmHzprj6KTJtTsnvCEWceE1lCTDjiBUyNUoT6O6Z0rrJqNfZQgwQhwhSw2uhDMcLMH6gNGZYSPpUKLHr7Zfgep8Q5W2iBZ2mfWAZtsQSV80elM7UnENRcaEbNhWZMy7kaS0ZnYlpOTzjiIiXPoXfMeN8+Qn/INEaYBhYbvVqTDuGNEhU/qz/RU3nXMP22p8Cip1+G73FSBWCl7sPTxObbvuT2kQAHnK1rRElZpeLIH7EElTw2G8AFSL7g73n9rhPYNjMbYXYbpmT3xJrt5VhQ8J3keaH+jhnl20f4BxKECEMQ8zWRs9GHaoSZ3rBWiQ+z21BSVskkfLI4PwPCAotefhm+yAkenogt8Hz7Cksr8Mf3v/G6Dh/F5pmXR85XzXMRddbUo6quCUntI3H2fCNe3CQugPgD33sOs9uQ3EFaK8QT6u+YEb59hH8gQYgIOFocnY3KyByMsJbPYF3wktpHqhZYpFAitAnBCx6Li37A0i/KZH9P6H7FnMCFEhOyZEP3XURbXBz+8N4+2bb5C897pneMCDXIR4gIKFodnc2UkTkYYPFxYV3wHHFRfksSqdUvI8xuw9AelzH9llCaBrmoNU+U+tHwTugb9p1k/AX98bxneseCg1ApYK0HpBEiAoYeuWu0ageCBT1zKOkdMqxXkVZftPplqDWxqckyzepHI5UfKVD4CjX0jlmfYEovEghIECIChl6OznpWRLcigZ7klC6M/nQk1eKXoXaB1+ILI3WuUk2TGjrGRqDflQko/u606DGj+qa0uedQf8esTKgVsNYDEoSIgKGno3OoRm0YNckpXRjVCCyByBSuZoHX4gsjda5e9czEmDK8O35/89W46ZUvJI/7ZN9J3Hh1J5z9udGr30P1HTMDat8Ff2aMD2ZIECICht5OmKEWtWH0JKd0YVQymQdSy6X0PuRMakKwOIb7O+pqaI/LsPt4tayw5axtxH1vfu3+27Pflb5jwVD2xmi0vAuUXkQdJAgRAUNLGLTV0WOBMMMkx7owKpnMjdByKVng1dYKk/Oj8WfUFe/3s/Fb5Q7YzpoGPPrOHkzL6YnU5Fjm8Up+KdrR+i5QehF1UNQYETCUpqcPFuRKU7BilUlOSWRgi4vD/E8PmD5T+IiMFEwcmsp0bEJMOJPwNjAtyW8lN/j3SI2wxff04uLDzOOVyt5oR4+s+ZT6QB0kCBEBJdTS0+u5QFhhklM6mS/dckSyQrxYHTEjyE13MB23bEx/5KY7ZEOXiw468XPjRV3baAPwyI1p7vdISZkRKaTGK5W90Qe1NfU8odQH6iDTGBFwQsUJU2+fHiuYFpVM5jX1TVhcfIjpuixaLn/7p7D2f019M4Yt2iJpIvJn2PwbW8vR78pEt48Pa5kRKaTGqxlMtsGAHhpfSn2gDtIIEYYQClWZ9djheWIF0yLrZO6sbcBz/zzIfF05LZeQ+XHAgiIsKT6kmyaCpf9H9U3B5LXSGkB/hs1zv/yb/+kB932LaWHVXFtovFrFZGt29NL4hprWXQ9II0QQfsIfC4TZ87uwTuZVPzcyh47LqfJFy1/UN2Nx8WGs/uoYXrqrjy59I9X/c/N7Y0HBd7IawA5R4X4NmwdaI8GWbjmCJ3N6utvtVTw2NhJ/eP8bnKplj4Tj8R2vVjDZWgE9Nb6honXXCxKELA6Fq5oXfy0QZp7kWCfzpNgI5mtKablYtCvnLjTrGn0m1v+sGsCvys5qbgMLi4sP4RpHe/c9+0bKzR+lzmTmO16tYLK1AnqbtUItvYgWyDRmYfSKRiL8gz8dF81qWmQ1352ousB0vWk5PSWFF9akhBxatTFNF1261F8S6n9Wzd6a7cdU/aYapJyUlZrMxMarFUy2VoHMWsZg4ziOXPlFqK2tRXx8PGpqahAXF2d0c7wQMwfwUw29NOaAf06A8A4vWJ+TVE6Z3HQHhr60WTJajD9+28xsyQX0k30/4cn1+5jblRQbgaq6pjZt0uMZbD98Fvet/Fr+wACzbtJgSc2Ap1b52NkLeO0XB3al45XyCOkHafq1o2T9JtOYBTE6wzDBjtl9erQiNGEDQHx0BJ7KuwZVdU1Iah8JR9ylybykrFJWCAKA0ddfKTt+lZoVPYUggC1RHcuiVFhagfmfsjt/B5LPDzgBQLT9viaUaxztVY1XM5tsrYZZS9QEK6QRksCsGqGSskqMWbFD9ji5nSAROIJxkhLSACTEhANo9cvhSYxph6yrOuKqyzogq3tHnK5twLT3vpG9/pThPdCzc3vJ/mpxcW1C1ZXC+7AIaZ9YtBxmqCAvha+/CYuWJhjHazBD2ri2KFm/SRCSwKyCEKs5YMnoTNyeebn/G0SEHFoW//aR7RQnEpSa1AtLKxSXvxDCd+PAYn7OTXdoFsQCTbCbZUMNcpMQRsn6Tc7SFoTCVQkj0ZoHR002ZanMxiMyUrD8/v5ubZRanLWXhBnWbMk7yiotJQQBlO05mKCs3vpAgpAFoTTqhJGwRmrpidykPiIjBbvn5GJaztVIiFYnEC3YeMAtaLGGwpccDUwovN6YqXQJoR69k7aGKiQIWRAKVyWMRM8MwUmx7EKL3KQeZrfhyZye2D03F3PzeytuS1Vds1vrxH6P1n7HKNuztaGs3vpAgpBFoXwThFHoaXKde9u1WDdpMJaMzsSU4d2ZzpGb1MPsNiR3iFTdpuf+eRDJsWznD/pFO8tKVLi5plwyn1sbcpPQB0VvZWpqKmw2W5t/kydPdh9TUlKC7OxsxMbGIi4uDjfeeCPq6+sBAF9++aXg+TabDbt27XJf49tvv8UNN9yAqKgodO3aFS+//HKbtrz//vvo1asXoqKi0KdPH2zatMnre47j8OyzzyIlJQXR0dHIycnB4cOHFXWO2RmRkYJtM7PdC8m6SYOxbWY2CUGEX9GrojkAOOKi3IkJh/a4jOkclkld7cTPa51gA9M9zvjgG4zqm8LcFw3NLlXt0hsynwcH5CahD4oEoV27dqGiosL9r6ioCABwzz33AGgVgkaMGIFbbrkFO3fuxK5duzBlyhTY7a0/M2TIEK/zKyoq8NBDDyEtLQ2/+tWvALR6et9yyy3o1q0bdu/ejVdeeQXz58/HG2+84W7HV199hTFjxuDBBx/E3r17cccdd+COO+5AaWmp+5iXX34Z/+///T8sX74cX3/9NWJjY5GXl4eGhuBSEZo1wzARvEiZZpXgO0HrOalrFdbO/tyIeb9Ol3UId9Y24o2t5Xj4xjRRZ22zvZFkPg8eyE1CHzSFz0+dOhUbN27E4cOHYbPZMHjwYOTm5mLBggVM5zc3N+Pyyy/HE088gblz5wIAXn/9dTzzzDNwOp2IiGitRzRr1ixs2LAB33//PQDg3nvvRV1dHTZu3Oi+1uDBg5GZmYnly5eD4zh06dIFf/jDH/DHP/4RAFBTU4POnTtjzZo1GD16NFP7zBo+TxBmQCh3SWJMODh45xESY7mACVfPTNxi12Jh3aTBGJiWhAEvFMneC5+H6N8zhuP1L49g9fZjOFd/6ZyOsRGo9EnkaCR65ZehXEPmgfIItSUgmaWbmprwzjvvYPr06bDZbDh9+jS+/vpr3HfffRgyZAjKysrQq1cvvPjiixg2bJjgNT799FNUVlZiwoQJ7s9KSkpw4403uoUgAMjLy8OiRYtQXV2NxMRElJSUYPr06V7XysvLw4YNGwAA5eXlcDqdyMnJcX8fHx+PQYMGoaSkRFQQamxsRGPjpYy3tbW1ivuFIIQIxkVDLJMw0BrNUnTQiff+779twuUTY8KxUKQavJ6ZuMWuJVVk1LNA6M7yKiaBjjen7T5ejSdzrsaU7J5efeKsqWdKIOlvHhyaipx0hy5jjxZec0FZvbWhWhDasGEDzp07hwceeAAAcPToUQDA/Pnz8eqrryIzMxNvv/02br75ZpSWlqJnz55trrFy5Urk5eXhiiuucH/mdDqRlpbmdVznzp3d3yUmJsLpdLo/8zzG6XS6j/M8T+gYIRYuXIjnnnuO5fYJgplgXjTESgFkde+IrO4d8Ux+OnaUVf4SZt567OCrpE24ek7qQteqrmvE5LV7AUhX+FYaacMf79snJWWVitutNzYAm0qdeDpfu5lELIEfS7kSwn9QtXn1qBaEVq5ciZEjR6JLly4AAJer1QnwkUcecWt4+vXrh82bN2PVqlVYuHCh1/n//e9/8dlnn+G9995T2wTdmT17tpemqba2Fl27djWwRYTVCfVFI8xuw9CeyRjaM1nxeXpN6kLXet1uk9U6KXW4Fjue91dy1jQYVobDM/WAln6lOofWIRi10P5ClSB0/PhxFBcX46OPPnJ/lpLSOnmkp6d7Hdu7d2+cOHGizTVWr16Njh07YtSoUV6fOxwOnDp1yusz/m+HwyF5jOf3/Gd8u/i/MzMzRe8rMjISkZHqw24JwhNaNMwLi9aJF2Dkkkd6mtOE4B1aH9OhDIhWtOaTUZLAj7QTxhHMWmh/oCqpxerVq9GpUyfk5+e7P0tNTUWXLl3www8/eB176NAhdOvWzeszjuOwevVq/O53v0N4uHekRVZWFrZu3Yrm5ku2+aKiIlxzzTVITEx0H7N582av84qKipCVlQUASEtLg8Ph8DqmtrYWX3/9tfsYgvA3lPVVH1pcHErKKvHJvp9QUlapW7kAuYhLXoBhEVHlInN4fyW1Wa/1Qms+GUrgZ354LbTv3CNVpibUUawRcrlcWL16NcaPH4927S6dbrPZMGPGDMybNw99+/ZFZmYm3nrrLXz//ff44IMPvK6xZcsWlJeX46GHHmpz/bFjx+K5557Dgw8+iJkzZ6K0tBRLlizB4sWL3cc8+eSTuOmmm/DnP/8Z+fn5WL9+Pf7v//7PHWJvs9kwdepUvPDCC+jZsyfS0tIwd+5cdOnSBXfccYfSWyYIVdCioR2jd7ZiDtdq2jIiIwUdosJx35tf+6OpkshprVihBH7mhrTQ6lAsCBUXF+PEiROYOHFim++mTp2KhoYGTJs2DVVVVejbty+KiorQvbt3xtiVK1diyJAh6NWrV5trxMfH4/PPP8fkyZMxYMAAJCcn49lnn8XDDz/sPmbIkCFYu3Yt5syZg6effho9e/bEhg0bkJGR4T7mqaeeQl1dHR5++GGcO3cOw4YNQ2FhIaKi6AUlAgMtGtowi3+VpxnNWVOPqromJLWPhCMuCgO6JWL38Wp8su8nJj+MwVd1NMRfiIM++WTk/J30ErgIdZDpUh2a8ggFO5RHiNBCi4vDsEVbZBeNbTOzaXfmA993YpM6a9/xDqO+Aoxax1FPB9RjZ+uwbucJOGsvpdxg0RAVllbg0QD7CyXGhOP/5uQCgGYHWj1zPRH68sm+n/Dk+n2yxy0ZnYnbMy/3f4MMJCB5hAjrQNEDxuDpJOubu4ayvkqjx85WyKzGwwssSsL0pa7Hw6qtiokIw4WmFtHv9ab6QjOWbjmC9btOaDYz6pnridAX0kKrgzRCEgSDRshoHwuCnoEatO5sxcxqviTEhHslTRR7LqzXA6S1VUquEwi0aHFog2U+SAt9CdIIEQDM42MR6lDWV+Vo2dlKOYz64ps5WujdUHI9QFxbpfQ6gUCLAy0l8DMfpIVWh6rwecL8yEUPAK2Tn16hyIQ0VBxXGbxTrhRiBVjlzGpSCL0baq/nGw2opV3+hNI4BBe86dLh8/444qNo8ysCaYSCFIoeIKzOgG6J2PiteM6TUX1TBAVKrekIfN8Ntdfz1VYZkSZBqq6aL87aBpSUVZLWMgggLbQySBAKUiiHDWFVCksrMP/TA17RWEJ8+k0FnhrRu83krpcjKP9uqLme3QZU+1ScT24f+Kz1jvgo3Purrnht82HZYxdsPICqOnl/KcIakOmSHRKEghSKHjAXZnUsNVu7lDgTi2k0WUtjyMG/G2pqhbk4YPLaPXjd7mGKCIAV2gbg7YkDUXWhyV1g9vmNB5nO9RSCAPIlJEIHEoSCFEp8Zh5YosaMEEjMFs2mxplYSKPp6TCqRvbwfTfU1grj4O2EfLZOWsOlBxwAu82GTh2iUHTQiVXbj2m6FmUiJkIBcpYOUvjJG0CbWkkUPRA4WOr+FJZWYNiiLRizYgeeXL8PY1bswLBFW/xaE8iM9YjUOBOLaTR5h1Exh+vEmNaaX6zvhtpaYRU1DdhRVinZVr2ZvHYPxqzYoUkI4iFHaiIUII1QEEOJz4yFpe7PrI/2o+ZCc0BTHJi1HpESfzUWjaZUaYyBaUkoOuhU9G6orRX2+No9WHhnH8THhCMhOhzn6pvlT9KAP65PvoREMEOCUJBD0QPGwRK555vHxvM7fwkkZo0oVKoxYdFoSjmMqnk31NQKq6lvxuNrA1tSQ2/Il5AIZkgQshhqfEkoesAY9A7j1guzRhSyOiXr6cek9N1Q6y9kVciXkAgFSBCyEGZzbiWk0TuMWy/MGlEolRWXZ1pOT0zJ7qlaQ6aHUzpvcn764/1tIq2CCfIlJEIFEoQsApXLsB5qwq6F0FsgCWREoVLBQ8yvTQ+BX8+NxIiMFGT36ozBCzejyidfkNWwobXmWmQ7u1fuJvIlJEIFKroqgVmKrvKF9MT8OkKpkJ7V4AVYoG3dHw6tC5CQszR/jL+eq1S7AHVFOIV+Q63goXc6AbGNhNb7NVMR1Q5RYTjfoKyivef9ky8hEUwoWb8pfN4CKHFuJcyFVN2f5ff3x0t39QEQ+BQH/q5HpDU8X8/abP6suzciIwXLxvZ3h+Mbhd0GWSHo2pQO6BDlbQTwfN5UD48IVcg0ZgHM6txKsCEXnWRUigN/RRSaLTzfn1FyhaUVWFBwENUi0X+BQkqGs9tavz9QcR4AkBQbjjszL0dOuoO0PgQBEoQsgVmdWwl29A7jDkS71GK28Hx/bSTMZBaTwldIqq5rxqrtx3A9CUEEAYAEIUtA5TKCn2BKcWA2DaY/NhIs5UASosOx7L7+qLnQhAUF32mufaYXVDpDGLPV3SMCBwlCFkAqrJhCXAmzYTYNpj82EizlQM7VN8Nus+HW67ogLyPFvcgeO3sB63aegLPWOMHIqKSZZkWviEISpqwJCUIWgcplEGaHXwSctQ1Iig0XzbEjJXj4YyFh2UjMze+t6HeVar18NX5TsnvgibW7san0lMK70RfyK9QvNQnlebMuJAhZCCqXQZgVoUVACCkNpj8XEqmNxKi+KW1MV3K/q4fWa4cJojyPnb1gdBMMRS/HfsrzZm1IELIYweRLQgQHSpyGxTSYgVhIhDYS1XVNmLxW+e9qNbftLK8yRVbq9btOYEp2j5DdTOnh2G+2KElCOZRHiCAI1cg5DdsAdIyNwOLf9sW6SYOxbWZ2G8HCn3l+fPHMlTMwLQkLCtT9Lm9uA9TlgDKLSSrU84/p4dhPed6sDwlCBEGohmURqKxrgiM+WjRJn1ELidbf1ZKU0kypLswilBmBHiZOs0VJEsoh0xhBEKrRYxEwaiHR43fV+u0NTEuCIy7K0MgxnkAKZWaLqtIjotBsUZKEckgQIogQRcuixJ97+NR5puOlFgGjFhJWR2G531Xjtxdmt+FXqYnY+K10qRGt8FmlhQh0/jEzRlXpkZqE8rxZHxKECCIE0bIosUaIAWyLgF4LiRLBrsXFYd3OE7Ltd8RF+mUBKyyt8LsQ9Jv+VyC7VydMXiteXDdQ+cfMHFWlNTWJUXnezKZdszJUfV4Cs1SfJwg90VKJXUmEmJLK7vx1AeGFRO4aQsKZVE2tkrJKjFmxQ/YeRmZ0xu+y0nRdZFpcHIYt2uL3TNMJMeHYPScXRQedhmpi5O6XF3S3zcw2dCHXKlgEUuNlRu2a2VCyfpMgJAEJQkSwoWVRUrqAK52Y1U7uLMKZ73U+2fcTnly/j6ldrO1ghVUI04N1kwYjq3tHQ7UHrPfLt9XKBKKftWxkQgkl6zeZxggihNCSN4WlrAQATBneA0N7JDMtAr4Lx79nDMfu49XMCwlLzS+grQlGqb+RniacQEYPiWW2DiShFFXl736mnEX+gQQhggghtCxKrOf27NyeaTEQ0wDNzU9Hpw5ROH2+VSCTEoZYhTPfRULOL0nufC2LTCCjh8wQqURRVfqhRwJIoi0kCBFECKFlUdJzQRNT71fUNODxX5x7eaTMUkq0CL6LBO/gqvZ8tfBCWCB8hMwQqURRVfoRStq1QEIJFQkihOAXJTF9hg2tgofQoqTlXE9YzVk8vFmqsLRtlJUaLQK/SPDRQkmx4arOV0uY3YZRff3vw2EWw4jWLNzEJUi75h9IECKIEELLoqTk3BYXh5KySnyy7yeUlFV6lalgNWfxSJW7kBPOhPBcJEZkpGDubdcqOFv7IlNYWoE3tpZrugYL1ReaTVPWQUsWbuISem1GCG/INEYQIYaWvCks58pFf6nRqIiZpTxzuMghZoJxxLELNloXGRZtmFQSRKWYyUSiNgs3cQmjchYFOyQIEUQIomVRkjqXJXGeFo2K0MIuJpx5IrVIKHGcllpkWEKnWbRhLg54emQv/Olf38u0Rh6zmUiMjF4LFrQmgCTaQoIQQYQoWhYloXNZQ3v/PWO4oogtT8QWdk/hrOigExv2nURVXZP7e6lFgkWrlBATjpfu6iOZaJIlBxKrhqa2oZnpODl2HD0rm2GbNDTWg7Rr+kKCEEEQusAa2rv7eLWoel8MlsgiXjjL6t4Rz+SnK1okRmSk4OEb07DiP+VeZimbDcjvk4Ilo/uJnq+kfAS7hkafBW3J5iN4d9d/MX9UWyGQshNbG9Ku6Qc5SxuMlFMpQVgJJaG9Ys6zQqjxfeAXidszL0dW946y5/EOzG1ePw4o+LYCRQedgufJacEAbydvVmdXPRc4Z23bqDteePMVXKUi9AgiWCFByEAKSyswbNEWjFmxA0+u34cxK3Zg2KItNAkRuhIoYVtpaO+IjBTMze/dJnzdV2bxd2SRUmHGEyUJ7gD2yLvBV3VUHA0nB38PWu6XIIIRMo0ZhJmrMRPBQyDNH0oT5xWWVmDy2r1tjuXX3wlDuuGKxBgktY9EfHQEWlycX3wgtGTrVZPgjtXZdW5+epvkkmrxFcgoOzFBXIIEIQOgejFEIAi0sK0ktJcljHxNyXF4loT2lwCnJVuv2gR3cs6uhaUVWFBwkOnaSlASTm+m0HuC8CdkGjMApep0glCKUeYP1sR5LGHknE/TlPivKDEHasnWy5LQMSk2HM7ahjbtEPNjEvPf0YNOHaIoOzFB+EAaIQOgejGEvzGyOCNLaK/apIos2lKl5kAttbCktGA8VXXNmPbuPtl2tLg47DhaiVkf7lecVoCVzK4JiGhnp9pfBOEBaYQMgHZkhL8xWtiWi9pSO7bltKVqoqG01sJSEgEn1g4+cOK+N7/GuXp9cggJsfbr41T7iyB8IEHIAKheDOFvzC5sq6kR5omQAKfFHKi1FtaIjBRsm5mNdZMGY/Fv+yIpNkLwOKF2+NMU5svxqgvu9lLtL4JohUxjBkD1Ygh/o8XcEwiU1AgTQkiA02oO1Jqtl9eClZRVemW1lmrHwLQkWadxPemWFOP+/5SdmCBaIY2QQdCOjPAnVjB/8O+Abx4hKaS0pXqYA5UmYlR6fd/jWJzG9cJuA8ZlpXp9psf9EoTVIY2QgdCOjPAnVijOOCIjBdm9OmPwws2SWhQeDuICnBnMgS0uDmfPNzK3I5ABEZNuSEOY3YaSskqabwjCAxKEDIbqxRD+xArCdkQ7O/50Z4bbTCZlJkqIEdceGW0OFIpWEyMhJhwuF4ekGGFfIj2x21qFoH5XJmLYoi1UW4wgfLBxnG+2DoKntrYW8fHxqKmpQVxcnNHNIYighkWQ4MU3MfMx73gMCPve+cvsLJa8Ug7WorNqiYtqh6+fzsG/D50WbJ+/+4UgjELJ+k0+QgRB+AWlNc74yKt/PDgICdHCmh9/R3+pgSVLthj+3oXWNlzEnhPVVFuMICQg0xhBELqjtsZZmN0Gu90mmUvH39FfSgmkw7MaSsoqqbYYQUhAGiGCIHRFTVJDT/SM/rrtui4AgI3fnmTSSqnB/Bng2e7Z/PdhDZRqQgnjIY0QQRC6oUdBYb2iv9RqpZRi5gzwdhswKK0jln5RJnusme/DKgRqzBH6okgjlJqaCpvN1ubf5MmT3ceUlJQgOzsbsbGxiIuLw4033oj6+nqv6xQUFGDQoEGIjo5GYmIi7rjjDq/vT5w4gfz8fMTExKBTp06YMWMGLl686HXMl19+if79+yMyMhI9evTAmjVr2rR32bJlSE1NRVRUFAYNGoSdO3cquV2CIBSiR0FhPTKva9VKKUFrlmx/4uIAu81GmewDQCDHHKEvigShXbt2oaKiwv2vqKgIAHDPPfcAaBWCRowYgVtuuQU7d+7Erl27MGXKFNjtl37mww8/xLhx4zBhwgR888032L59O8aOHev+vqWlBfn5+WhqasJXX32Ft956C2vWrMGzzz7rPqa8vBz5+fkYPnw49u3bh6lTp+Khhx7CZ5995j7m3XffxfTp0zFv3jzs2bMHffv2RV5eHk6fPq2upwiCkEUvs5aWZJBaSm2owbO9ZuRsXaPpk2tanUCPOUJfNIXPT506FRs3bsThw4dhs9kwePBg5ObmYsGCBYLHX7x4EampqXjuuefw4IMPCh7zr3/9C7fddhtOnjyJzp07AwCWL1+OmTNn4syZM4iIiMDMmTNRUFCA0tJS93mjR4/GuXPnUFhYCAAYNGgQrr/+eixduhQA4HK50LVrVzzxxBOYNWsW0/1R+DxBKKOkrBJjVuyQPW7dpMGyjrlqzQysbfjHg4Ngt9t0c6hWkkcokPB9TWYb/6HnuCf0Qcn6rdpHqKmpCe+88w6mT58Om82G06dP4+uvv8Z9992HIUOGoKysDL169cKLL76IYcOGAQD27NmDn376CXa7Hf369YPT6URmZiZeeeUVZGRkAGjVKvXp08ctBAFAXl4eHnvsMRw4cAD9+vVDSUkJcnJyvNqTl5eHqVOnutu2e/duzJ492/293W5HTk4OSkpKRO+psbERjY2XssLW1taq7R6CCEn0TGqoNvqLVSs1ee0er+g0rUKBZ3uLDjqxYd9Jr2zZiTHh4ACcu3DpN202wF+Z3Hz72grJNa2KHppQwjhUC0IbNmzAuXPn8MADDwAAjh49CgCYP38+Xn31VWRmZuLtt9/GzTffjNLSUvTs2dPrmL/85S9ITU3Fn//8Z/zP//wPDh06hKSkJDidTi8hCID7b6fT6f6v0DG1tbWor69HdXU1WlpaBI/5/vvvRe9p4cKFeO6559R2CUGEPHoXFFaTeZ3V6dc3RJ/35dCSb4hvb1b3jngmPx07jlaipKwSAIesq5JxfVoSdh+vdgsimV0T8KsXilDX1KLq9+Tw7WvKZO8fzFDehVCP6vD5lStXYuTIkejSpTU81eVyAQAeeeQRTJgwAf369cPixYtxzTXXYNWqVV7HPPPMM7j77rsxYMAArF69GjabDe+//77We9HM7NmzUVNT4/73448/Gt0kgrAcRhcUVuu8rLcvR9FBJ/74/jdY+sURLP2iDPet/Bo3vfIFauqb3EVO9/14zi9CUGJMO8oWHUD0cPAnjEOVRuj48eMoLi7GRx995P4sJaX1hUtP93Ya7N27N06cOCF6TGRkJK666ir3MQ6Ho01016lTp9zf8f/lP/M8Ji4uDtHR0QgLC0NYWJjgMfw1hIiMjERkZKTM3RMEIYeRZhgprZQceiUXFCu54at18pepJLIdZUYJJHprQonAokojtHr1anTq1An5+fnuz1JTU9GlSxf88MMPXsceOnQI3bp1AwAMGDAAkZGRXsc0Nzfj2LFj7mOysrKwf/9+r+iuoqIixMXFuQWorKwsbN682et3ioqKkJWVBQCIiIjAgAEDvI5xuVzYvHmz+xiCIPwLb4bhtR+BXATEtFJipTt80SKgKIkgSo71z8brVC2FbAcaozWhhHoUbxtcLhdWr16N8ePHo53HrsNms2HGjBmYN28e+vbti8zMTLz11lv4/vvv8cEHHwAA4uLi8Oijj2LevHno2rUrunXrhldeeQXApRD8W265Benp6Rg3bhxefvllOJ1OzJkzB5MnT3Zrax599FEsXboUTz31FCZOnIgtW7bgvffeQ0FBgbs906dPx/jx4/GrX/0KAwcOxGuvvYa6ujpMmDBBfW8RBGEZhLRSLo7DfW9+LXuuFl8O1lxKS7ccwbqdJ1T/jhSsySsJfSGHdGuiWBAqLi7GiRMnMHHixDbfTZ06FQ0NDZg2bRqqqqrQt29fFBUVoXv37u5jXnnlFbRr1w7jxo1DfX09Bg0ahC1btiAxMREAEBYWho0bN+Kxxx5DVlYWYmNjMX78eDz//PPua6SlpaGgoADTpk3DkiVLcMUVV+DNN99EXl6e+5h7770XZ86cwbPPPuuOTissLGzjQE0QRPDi6xzc4uJ0i2oTg1WbtLj4kOrfYIFqiBkDOaRbD015hIIdyiNEEMEH778DCPtyaDVjsOaUCRRLRmfi9szLjW4GQQQUJes3FV0lCCKk8LcvBx9BZBYoZJtgJVQLxlJoAUEQIYc/fTnC7DbMze+Nx9fu1aGl6tHDzEeEDqGceZwEIYIgQhJ/+nIk+ikajBUK2SaUwJruIVgh0xhBEITOGF1KgUK2CVaoYCxphAiCIHTHKL+c32V1w8iMFArZJphhTfcQzNGHpBEiCILQGZaSCwkx4cwJHlnplhSD0+dbF61g3sET+kEFY0kjRBAEoTssJRdeuqsPctMdWLrlCFZvL29TBFYpdhuwoOA799+h4uhKaIMKxlIeIUkojxBBEFpgjcRpcXHuCLbPDzhRsN+p+bf1yotEBDctLg7DFm2RTTK6bWa2pcytStZvEoQkIEGIIAiteAo5cmH6YtE7WkiKDceO2TmIaEeeEIQw/k4yagQkCOkECUIEQfgTTyEpuX0k/vDePjhrG3X/naTYCPzpzgzLLWZE4Ai2PEIkCOkECUIEQfgLoYXHn9hgzZ09ETiUaC/NjpL1m5ylCYIgAsymbyvw+No9Af9dqkZPSBGqBWPJaEwQhCWxal2kTd+exJR1gReCPPPBEARxCdIIEQRhOazqz1BYWmF4DbJgzgdDEGogjRBBEJaCj3Dx9a3h6yIVllYY1DJpWlwcZn203+hm4PCp85bSoBGEvyFBiCB+waqmFlaC4f6sXBdp6ZYjOHdBW9JEMXiPn/aR8kr+pV+UYcyKHRi2aItphUaCCCRkGiMIWNfUwkog78+fkSdWrYvU4uKwenu5367v+OVZAhDMByNEqFQWJwg5SBAiQh6xJHbBslAE8v78LXBZtS7SzvIqzSU0xHjm1t6YOCzNLWy+fn9/prB8Dq2aJIokI0IdMo0RIY2VTS0sBPL+AuG7o6YukhlMgqyCmQ3ApBvSFF27pr7ZS4gZkZGCbTOzsW7SYEwZ3kPyXIokIwjSCBEhjlVNLawE6v7kBC61mgdfM9uAbolIiY+SvKeU+FZzHGAekyerAPfkzT0wNfca9OuaqCDPUNte5/PBWFWDRhCBhAQhCxJM2T+NJtgXikDdnz8ELjEhJuPyOMnfGtU3BWF2m6xJcGrO1UhNjgnIOzQwLQkp8VGihS0BICbCjuvTOuKTfT/h7Hn2MhtZVyWLfkeVxQlCHhKELIZZdrjBQrAvFIG6P70FLjEhpqKmQdb35dNvKvCHW3rJmgQXFx9yf+bvdyjMbsO8X6fj0XfEtTwXmly4782vFV03JiIMgyUESzkBjK8szmvQCCIUIR8hCyHlg/HoO3uwpPiQpUOjjYBfKMR0ATZ4m1qsRqDuT0+BS8rMxkJFTQP+t+SYohpegchBlJvuQEJMuK7XfOTGqyQ1WbwABqDNGOD/nvfrdNIoEyENCUIWgcXpdXHxYTy5fh/lCFFAsC8Ugbo/PQUuOTMbC8erLig6PhCO8TvLq3TNI5QYE44p2T1ljxuRkYLX7+8PR7y3EOqIj7J8RCRB6AEJQhZB6eJg9iy7ZiLYF4pA3J+eApce/ljdkmIUn+PvCCo9/cxsABbe1YdZgPWMJFsyOhPrJg3GtpnZlh/bBKEH5CNkEZROopQjRBkjMlKQm+4IWif0QNwfL3D5+rA5FPrfaPFX4n1exmWl4s1t5ZLOyWL4yzFeLz8ztf5MoVpZnCDkIEHIIqiZRK0e+h1ogn2hCMT96SFwsURYAa1CD+fzN9CqeYpoZ8e8X6fjsXf2tDlODn85xg9MS0JCdLiqxIrP3NobneIig05AJwgzQKYxiyDngyGFVUO/CWvCC1y3Z16OrO4dFS/acmY2G4BHbkyTNfWJmQTF8LdjfJjdhglDU1Wdm54Sp7o/CYKQhjRCFoFfHMy0wyUIf8FiZntqRG9ZzZOvhurY2TosLj4sqU3yp6AxJbsn3th6FHVNLYrOO1vHnleIIAhlkCBkIcQWBzEoRwhhZeTMbKymPt/jrnF00OzHpJYwuw0P39jdK4cRC7SZIQj/YeM4jhLOiFBbW4v4+HjU1NQgLi7O6Oa48cwsfezsBbz2y6QqtMMNhqgngtAbI7Ozt7g4DHihiCmUnt/MbJuZTSYxglCAkvWbNEIWpO0Ot71hO1yCsCJGOsaH2W146a4+klmmgeDIY0UQVoA0QhKYVSMkBNUfIwhrIVQuxxMqnUMQ6lGyfpMgJIGVBCGCIKyH5wYmuX0kwLU6RtNmhiC0QaYxgiAICxDsuasIwgpQHiGCIAiCIEIWEoQIgiAIgghZSBAiCIIgCCJkIUGIIAiCIIiQhQQhgiAIgiBCFhKECIIgCIIIWUgQIgiCIAgiZCFBiCAIgiCIkIUEIYIgCIIgQhbKLC0BX32ktrbW4JYQBEEQBMEKv26zVBEjQUiC8+fPAwC6du1qcEsIgiAIglDK+fPnER8fL3kMFV2VwOVy4eTJk+jQoQNsNmsWP6ytrUXXrl3x448/hmTh2FC/f4D6gO6f7p/uP/Tun+M4nD9/Hl26dIHdLu0FRBohCex2O6644gqjm6ELcXFxIfUS+BLq9w9QH9D90/3T/YfW/ctpgnjIWZogCIIgiJCFBCGCIAiCIEIWEoSCnMjISMybNw+RkZFGN8UQQv3+AeoDun+6f7r/0L1/FshZmiAIgiCIkIU0QgRBEARBhCwkCBEEQRAEEbKQIEQQBEEQRMhCghBBEARBECELCUIWZNmyZUhNTUVUVBQGDRqEnTt3Sh7/2muv4ZprrkF0dDS6du2KadOmoaGhQdM1jUTv+58/fz5sNpvXv169evn7NlSj5P6bm5vx/PPPo3v37oiKikLfvn1RWFio6ZpGo/f9W+n5b926Fb/+9a/RpUsX2Gw2bNiwQfacL7/8Ev3790dkZCR69OiBNWvWtDnGKs/fH/cfzM+/oqICY8eOxdVXXw273Y6pU6cKHvf++++jV69eiIqKQp8+fbBp0yb9G29mOMJSrF+/nouIiOBWrVrFHThwgJs0aRKXkJDAnTp1SvD4f/zjH1xkZCT3j3/8gysvL+c+++wzLiUlhZs2bZrqaxqJP+5/3rx53LXXXstVVFS4/505cyZQt6QIpff/1FNPcV26dOEKCgq4srIy7m9/+xsXFRXF7dmzR/U1jcQf92+l579p0ybumWee4T766CMOAPfxxx9LHn/06FEuJiaGmz59Onfw4EHur3/9KxcWFsYVFha6j7HS8/fH/Qfz8y8vL+d+//vfc2+99RaXmZnJPfnkk22O2b59OxcWFsa9/PLL3MGDB7k5c+Zw4eHh3P79+/1zEyaEBCGLMXDgQG7y5Mnuv1taWrguXbpwCxcuFDx+8uTJXHZ2ttdn06dP54YOHar6mkbij/ufN28e17dvX7+0V2+U3n9KSgq3dOlSr8/uuusu7r777lN9TSPxx/1b6fl7wrIQPvXUU9y1117r9dm9997L5eXluf+20vP3RK/7D+bn78lNN90kKAj99re/5fLz870+GzRoEPfII49obKF1INOYhWhqasLu3buRk5Pj/sxutyMnJwclJSWC5wwZMgS7d+92q7qPHj2KTZs24dZbb1V9TaPwx/3zHD58GF26dMFVV12F++67DydOnPDfjahEzf03NjYiKirK67Po6Ghs27ZN9TWNwh/3z2OF56+GkpISr/4CgLy8PHd/Wen5q0Hu/nmC9fmzwNpHwQwJQhbi7NmzaGlpQefOnb0+79y5M5xOp+A5Y8eOxfPPP49hw4YhPDwc3bt3x//8z//g6aefVn1No/DH/QPAoEGDsGbNGhQWFuL1119HeXk5brjhBpw/f96v96MUNfefl5eHv/zlLzh8+DBcLheKiorw0UcfoaKiQvU1jcIf9w9Y5/mrwel0CvZXbW0t6uvrLfX81SB3/0BwP38WxPooGJ4/KyQIBTlffvkl/vSnP+Fvf/sb9uzZg48++ggFBQVYsGCB0U0LCCz3P3LkSNxzzz247rrrkJeXh02bNuHcuXN47733DGy5PixZsgQ9e/ZEr169EBERgSlTpmDChAmw20Pj1We5/2B+/oQ89PyJdkY3gGAnOTkZYWFhOHXqlNfnp06dgsPhEDxn7ty5GDduHB566CEAQJ8+fVBXV4eHH34YzzzzjKprGoU/7l9IIEhISMDVV1+NI0eO6H8TGlBz/5dddhk2bNiAhoYGVFZWokuXLpg1axauuuoq1dc0Cn/cvxBmff5qcDgcgv0VFxeH6OhohIWFWeb5q0Hu/oUIpufPglgfBcPzZyU0toVBQkREBAYMGIDNmze7P3O5XNi8eTOysrIEz7lw4UKbxT4sLAwAwHGcqmsahT/uX4iff/4ZZWVlSElJ0anl+qDlWUVFReHyyy/HxYsX8eGHH+L222/XfM1A44/7F8Ksz18NWVlZXv0FAEVFRe7+stLzV4Pc/QsRTM+fBTV9FHQY7a1NKGP9+vVcZGQkt2bNGu7gwYPcww8/zCUkJHBOp5PjOI4bN24cN2vWLPfx8+bN4zp06MCtW7eOO3r0KPf5559z3bt35377298yX9NM+OP+//CHP3BffvklV15ezm3fvp3LycnhkpOTudOnTwf8/uRQev87duzgPvzwQ66srIzbunUrl52dzaWlpXHV1dXM1zQT/rh/Kz3/8+fPc3v37uX27t3LAeD+8pe/cHv37uWOHz/OcRzHzZo1ixs3bpz7eD58fMaMGdx3333HLVu2TDB83irP3x/3H8zPn+M49/EDBgzgxo4dy+3du5c7cOCA+/vt27dz7dq141599VXuu+++4+bNm0fh84T5+etf/8pdeeWVXEREBDdw4EBux44d7u9uuukmbvz48e6/m5ubufnz53Pdu3fnoqKiuK5du3KPP/6410Igd02zoff933vvvVxKSgoXERHBXX755dy9997LHTlyJIB3pAwl9//ll19yvXv35iIjI7mOHTty48aN43766SdF1zQbet+/lZ7/F198wQFo84+/5/Hjx3M33XRTm3MyMzO5iIgI7qqrruJWr17d5rpWef7+uP9gf/5Cx3fr1s3rmPfee4+7+uqruYiICO7aa6/lCgoKAnNDJsHGcSL2AYIgCIIgiCCHfIQIgiAIgghZSBAiCIIgCCJkIUGIIAiCIIiQhQQhgiAIgiBCFhKECIIgCIIIWUgQIgiCIAgiZCFBiCAIgiCIkIUEIYIgCIIgAs7WrVvx61//Gl26dIHNZsOGDRsUX4PjOLz66qu4+uqrERkZicsvvxwvvviiomtQ0VWCIAiCIAJOXV0d+vbti4kTJ+Kuu+5SdY0nn3wSn3/+OV599VX06dMHVVVVqKqqUnQNyixNEARBEISh2Gw2fPzxx7jjjjvcnzU2NuKZZ57BunXrcO7cOWRkZGDRokX4n//5HwDAd999h+uuuw6lpaW45pprVP82mcYIgiAIgjAdU6ZMQUlJCdavX49vv/0W99xzD0aMGIHDhw8DAP75z3/iqquuwsaNG5GWlobU1FQ89NBDijVCJAgRBEEQBGEqTpw4gdWrV+P999/HDTfcgO7du+OPf/wjhg0bhtWrVwMAjh49iuPHj+P999/H22+/jTVr1mD37t34zW9+o+i3yEeIIAiCIAhTsX//frS0tODqq6/2+ryxsREdO3YEALhcLjQ2NuLtt992H7dy5UoMGDAAP/zwA7O5jAQhgiAIgiBMxc8//4ywsDDs3r0bYWFhXt+1b98eAJCSkoJ27dp5CUu9e/cG0KpRIkGIIAiCIAhL0q9fP7S0tOD06dO44YYbBI8ZOnQoLl68iLKyMnTv3h0AcOjQIQBAt27dmH+LosYIgiAIggg4P//8M44cOQKgVfD5y1/+guHDhyMpKQlXXnkl7r//fmzfvh1//vOf0a9fP5w5cwabN2/Gddddh/z8fLhcLlx//fVo3749XnvtNbhcLkyePBlxcXH4/PPPmdtBghBBEARBEAHnyy+/xPDhw9t8Pn78eKxZswbNzc144YUX8Pbbb+Onn35CcnIyBg8ejOeeew59+vQBAJw8eRJPPPEEPv/8c8TGxmLkyJH485//jKSkJOZ2kCBEEARBEETIQuHzBEEQBEGELCQIEQRBEAQRspAgRBAEQRBEyEKCEEEQBEEQIQsJQgRBEARBhCwkCBEEQRAEEbKQIEQQBEEQRMhCghBBEARBECELCUIEQRAEQYQsJAgRBEEQBBGykCBEEARBEETIQoIQQRAEQRAhy/8HWYjSnQFVsz8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))   \n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        barredSet = barredJettisonSet  #new 4/10/24 for MN, ban CCB jettisoning from ALL HD's, not just near ones\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.27076 0.17191\n",
      "shed unit avg and sd usage are 1.00095 0.13455\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 1965\n",
      "working on HD 672 out of 1965\n",
      "working on HD 1492 out of 1965\n",
      "all done checking HD and complement contiguity for all 1965 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 2\n",
      "overpop contigFail, enclaveFail = 0 0 out of 1583\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 1437 with pop 74593.0 now has use 0.97277\n",
      "CCB unit 1438 with pop 65321.0 now has use 1.02547\n",
      "CCB unit 1439 with pop 161612.0 now has use 1.01721\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "ff3288f1-f9ca-473c-886c-ee8d6c2637bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1965 1440\n"
     ]
    }
   ],
   "source": [
    "print(nHDs, nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed668f8-bf1e-46eb-963f-cf5e2b935b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see MD code if we need to remove a stuck CCB's from any HDs and then redo the square-up after dropping them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "7a36c0ba-5a68-445b-a223-b7fa55dfd728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 1965 HD centers\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(vtdGeom)\n",
    "print(\"there are\",nHDs,\"HD centers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology -- or read in via next block\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/TN1965opt3ContigGoodPop.csv ./2024state_HD_output/TN1965opt3ContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999999215\n",
      "I will now renormalize\n",
      "normalized weight is now 1.0\n",
      "I read in 1965 HD lists of units\n",
      "orig unit avg and sd usage are 1.00095 0.13455\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology -- or read in via next block\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"opt3ContigGoodPop.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "8014f0bf-74bb-40bc-b217-af4e204ea9a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upon restart, need to pull in unit topology and data\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv ./state_map_files/MNunitTopologies_06Apr24.csv\n"
     ]
    }
   ],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for discontiguities for HD 0\n",
      "checking for discontiguities for HD 1000\n",
      "checking for discontiguities for HD 1500\n",
      "out of 1593 total HDs, there were 1593 0 0 0 HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"checking for discontiguities for HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse, pop for county clusters\n",
      "1437 0.97277 74593.0\n",
      "1438 1.02547 65321.0\n",
      "1439 1.01721 161612.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse, pop for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,r5(unitUse[u]), unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc95ca58-c27f-4ac9-b6f7-234a94945f07",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Not sure if BELOW UNDERUSED is faster now that we subbed wontEnclave for enclaveCheck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.07\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 522 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 120\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97 0.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 712 units out of 1440 with usage below 0.97\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 38398\n",
      "current avg and SD of unit usage are 1.00095 0.13455 . Now trying to increase up to 120 units' underusage\n",
      "all done trying to increase usage of unit 261 final usage = 0.89008 6 sec elapsed 41 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00092 0.13144\n",
      "all done trying to increase usage of unit 662 final usage = 0.97021 23 sec elapsed 70 1 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00089 0.12858\n",
      "all done trying to increase usage of unit 464 final usage = 0.97793 44 sec elapsed 100 36 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00088 0.12608\n",
      "all done trying to increase usage of unit 1065 final usage = 0.97491 83 sec elapsed 98 56 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00087 0.12381\n",
      "all done trying to increase usage of unit 848 final usage = 0.9796 108 sec elapsed 69 1 successful, failed patches, couldn't start= 33\n",
      "current avg and SD of usage are 1.00084 0.12149\n",
      "all done trying to increase usage of unit 2 final usage = 0.97047 118 sec elapsed 58 0 successful, failed patches, couldn't start= 89\n",
      "current avg and SD of usage are 1.00081 0.1171\n",
      "all done trying to increase usage of unit 621 final usage = 0.9712 131 sec elapsed 76 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00079 0.11365\n",
      "all done trying to increase usage of unit 1319 final usage = 0.97071 156 sec elapsed 72 2 successful, failed patches, couldn't start= 35\n",
      "current avg and SD of usage are 1.00076 0.11164\n",
      "all done trying to increase usage of unit 1064 final usage = 0.97042 192 sec elapsed 82 8 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00076 0.10945\n",
      "begin usage increase for unit 614 with usage 0.73144 . Sec, total UU units tried = 192 10\n",
      "all done trying to increase usage of unit 614 final usage = 0.97528 222 sec elapsed 76 7 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00079 0.10707\n",
      "all done trying to increase usage of unit 613 final usage = 0.971 257 sec elapsed 71 10 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00078 0.10483\n",
      "all done trying to increase usage of unit 463 final usage = 0.97508 328 sec elapsed 72 27 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00079 0.10333\n",
      "all done trying to increase usage of unit 1317 final usage = 0.94331 359 sec elapsed 61 7 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00077 0.10197\n",
      "all done trying to increase usage of unit 659 final usage = 0.97031 379 sec elapsed 61 4 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00077 0.10051\n",
      "all done trying to increase usage of unit 471 final usage = 0.97236 427 sec elapsed 70 27 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00077 0.09901\n",
      "all done trying to increase usage of unit 1347 final usage = 0.85873 439 sec elapsed 9 29 successful, failed patches, couldn't start= 158\n",
      "current avg and SD of usage are 1.00079 0.09793\n",
      "all done trying to increase usage of unit 611 final usage = 0.98163 463 sec elapsed 70 18 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00078 0.09614\n",
      "all done trying to increase usage of unit 921 final usage = 0.82425 468 sec elapsed 16 18 successful, failed patches, couldn't start= 41\n",
      "current avg and SD of usage are 1.00077 0.09532\n",
      "all done trying to increase usage of unit 914 final usage = 0.93765 504 sec elapsed 31 76 successful, failed patches, couldn't start= 84\n",
      "current avg and SD of usage are 1.00077 0.09345\n",
      "begin usage increase for unit 609 with usage 0.78382 . Sec, total UU units tried = 504 20\n",
      "all done trying to increase usage of unit 609 final usage = 0.97224 537 sec elapsed 73 7 successful, failed patches, couldn't start= 27\n",
      "current avg and SD of usage are 1.00078 0.09231\n",
      "all done trying to increase usage of unit 477 final usage = 0.97395 599 sec elapsed 59 68 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00079 0.09113\n",
      "all done trying to increase usage of unit 36 final usage = 0.98173 628 sec elapsed 65 8 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00076 0.09009\n",
      "all done trying to increase usage of unit 1337 final usage = 0.85823 632 sec elapsed 12 25 successful, failed patches, couldn't start= 41\n",
      "current avg and SD of usage are 1.00075 0.08946\n",
      "all done trying to increase usage of unit 31 final usage = 0.97143 663 sec elapsed 65 1 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00076 0.08898\n",
      "all done trying to increase usage of unit 786 final usage = 0.90993 672 sec elapsed 21 1 successful, failed patches, couldn't start= 37\n",
      "current avg and SD of usage are 1.00074 0.08744\n",
      "all done trying to increase usage of unit 1179 final usage = 0.92047 707 sec elapsed 33 23 successful, failed patches, couldn't start= 33\n",
      "current avg and SD of usage are 1.00074 0.08676\n",
      "all done trying to increase usage of unit 469 final usage = 0.97312 740 sec elapsed 44 33 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00075 0.08608\n",
      "all done trying to increase usage of unit 912 final usage = 0.88875 748 sec elapsed 18 29 successful, failed patches, couldn't start= 31\n",
      "current avg and SD of usage are 1.00076 0.08507\n",
      "all done trying to increase usage of unit 276 final usage = 0.97336 795 sec elapsed 61 20 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00074 0.08444\n",
      "begin usage increase for unit 925 with usage 0.82275 . Sec, total UU units tried = 795 30\n",
      "all done trying to increase usage of unit 925 final usage = 0.89547 799 sec elapsed 15 6 successful, failed patches, couldn't start= 26\n",
      "current avg and SD of usage are 1.00074 0.08274\n",
      "all done trying to increase usage of unit 341 final usage = 0.97402 837 sec elapsed 57 5 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00074 0.08216\n",
      "all done trying to increase usage of unit 784 final usage = 0.97201 854 sec elapsed 45 2 successful, failed patches, couldn't start= 62\n",
      "current avg and SD of usage are 1.00074 0.0809\n",
      "all done trying to increase usage of unit 918 final usage = 0.9692 895 sec elapsed 41 88 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00076 0.07939\n",
      "all done trying to increase usage of unit 1341 final usage = 0.87583 899 sec elapsed 9 2 successful, failed patches, couldn't start= 36\n",
      "current avg and SD of usage are 1.00076 0.07901\n",
      "all done trying to increase usage of unit 857 final usage = 0.97029 907 sec elapsed 34 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00076 0.07754\n",
      "all done trying to increase usage of unit 789 final usage = 0.97056 928 sec elapsed 41 1 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00076 0.0764\n",
      "all done trying to increase usage of unit 1175 final usage = 0.88849 953 sec elapsed 20 28 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.00076 0.07606\n",
      "all done trying to increase usage of unit 922 final usage = 0.96207 968 sec elapsed 29 27 successful, failed patches, couldn't start= 56\n",
      "current avg and SD of usage are 1.00077 0.07366\n",
      "all done trying to increase usage of unit 479 final usage = 0.97725 1015 sec elapsed 39 54 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00078 0.07299\n",
      "begin usage increase for unit 247 with usage 0.8365 . Sec, total UU units tried = 1015 40\n",
      "all done trying to increase usage of unit 247 final usage = 0.9732 1033 sec elapsed 34 1 successful, failed patches, couldn't start= 39\n",
      "current avg and SD of usage are 1.0008 0.07223\n",
      "all done trying to increase usage of unit 1416 final usage = 0.87102 1051 sec elapsed 11 70 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00081 0.07174\n",
      "all done trying to increase usage of unit 634 final usage = 0.97447 1069 sec elapsed 27 26 successful, failed patches, couldn't start= 70\n",
      "current avg and SD of usage are 1.00081 0.07086\n",
      "all done trying to increase usage of unit 666 final usage = 0.89981 1078 sec elapsed 15 9 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00079 0.07037\n",
      "all done trying to increase usage of unit 1338 final usage = 0.91153 1121 sec elapsed 26 93 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00079 0.0698\n"
     ]
    }
   ],
   "source": [
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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8sSTpxRdf1JYtW7RgwQKdPHlSb7/9ttNvE0m1aHHx8fFR+/btJUk9e/bUF198ocWLF+t3v/vdLWV79+4tSTp16pTatWunsLAwa0/pcuXfoMr6xUiSr6+vfH197a0qAMDVXfjGZc+TmJio9PR0PfroowoMDNT8+fNr1eLyxhtv6KWXXtLJkycVHR2tjz76yNqnc8aMGfr2228VExOjgIAATZgwQY8//rhycnKs+0+ZMkWxsbHq0qWLrl+/rvT0dN15553auXOnpk6dqr59+8rLy0vR0dG6//77a1yv1atX67XXXtMrr7yic+fOqXnz5urTp48effRRSVKfPn30hz/8QbNnz9asWbM0cOBAzZgxQ/Pnz7f7GjiSh+XmG3h2GjBggCIjI22GWJX7xz/+oQceeEBff/21unXrpk8//VSPPvqoMjIyFBISIkn6/e9/r6lTpyo7O7vG4SQ3N1eBgYHKycmRyWS6neoDaECOnMvRo0v3avMLD+ieVoGVroNjFRQUKD09XW3btpWfn9+NlQ1g5txdu3apf//+unz5soKCgurlnK6gwu/3/3HE57ddLS6JiYkaMmSIIiMjdfXqVSUnJ2vXrl3aunWrTp8+reTkZA0dOlTNmjXToUOH9PLLL+uhhx6y9roeNGiQunTpotGjR+vNN99UZmamZsyYobi4OFpUAKAhCYq4ESJ4VhHsZFdwyc7O1pgxY5SRkaHAwEB169ZNW7du1SOPPKKzZ89q+/btWrRokfLz8xUREaERI0ZoxowZ1v29vLy0efNmTZo0SWazWY0bN1ZsbKzNvC8AgAYiKIIgAbvZFVxWrVpV6baIiAjt3r272mO0adNGn3zyiT2nBQDAcPr163fLcGrcPp5VBAAADIPgAgAADIPgAgCoF9w2aRjq+vtMcAEA1KnymV2vXavHoc9wmvLvc21m9K2JWj+rCACAmvDy8lJQUJD14YMBAQHy8PBwcq3gaBaLRdeuXVN2draCgoJqNctwTRBcAAB1rnx29JufnAz3ExQUVOVs+LeL4AIAqHMeHh5q2bKlQkJCbnnCMtyHt7d3nbW0lCO4AADqjZeXV51/sMG90TkXAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYBsEFAAAYhl3BZcWKFerWrZtMJpNMJpPMZrM+/fRT6/aCggLFxcWpWbNmatKkiUaMGKGsrCybY5w5c0bDhg1TQECAQkJCNHXqVJWUlDjm3QAAALdmV3Bp3bq13njjDaWmpurLL7/UgAED9Nhjj+no0aOSpJdfflkfffSRPvzwQ+3evVvnz5/Xk08+ad2/tLRUw4YNU1FRkfbt26e1a9dqzZo1mjVrlmPfFQAAcEuN7Ck8fPhwm9e/+tWvtGLFCu3fv1+tW7fWqlWrlJycrAEDBkiSVq9erc6dO2v//v3q06ePPvvsMx07dkzbt29XaGiooqOjNX/+fE2fPl1z5syRj4+P494ZAABwO7Xu41JaWqp169YpPz9fZrNZqampKi4u1sCBA61loqKiFBkZqZSUFElSSkqKunbtqtDQUGuZmJgY5ebmWlttKlJYWKjc3FybBQAANDx2B5fDhw+rSZMm8vX11cSJE7Vx40Z16dJFmZmZ8vHxUVBQkE350NBQZWZmSpIyMzNtQkv59vJtlUlKSlJgYKB1iYiIsLfaAADADdgdXDp16qS0tDQdOHBAkyZNUmxsrI4dO1YXdbNKTExUTk6OdTl79mydng8AALgmu/q4SJKPj4/at28vSerZs6e++OILLV68WE899ZSKiop05coVm1aXrKwshYWFSZLCwsJ08OBBm+OVjzoqL1MRX19f+fr62ltVAADgZm57HpeysjIVFhaqZ8+e8vb21o4dO6zbTpw4oTNnzshsNkuSzGazDh8+rOzsbGuZbdu2yWQyqUuXLrdbFQAA4ObsanFJTEzUkCFDFBkZqatXryo5OVm7du3S1q1bFRgYqHHjxikhIUHBwcEymUx64YUXZDab1adPH0nSoEGD1KVLF40ePVpvvvmmMjMzNWPGDMXFxdGiAgAAqmVXcMnOztaYMWOUkZGhwMBAdevWTVu3btUjjzwiSVq4cKE8PT01YsQIFRYWKiYmRsuXL7fu7+Xlpc2bN2vSpEkym81q3LixYmNjNW/ePMe+KwAA4JbsCi6rVq2qcrufn5+WLVumZcuWVVqmTZs2+uSTT+w5LQAAgCSeVQQAAAyE4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAyD4AIAAAzDruCSlJSk++67T02bNlVISIgef/xxnThxwqZMv3795OHhYbNMnDjRpsyZM2c0bNgwBQQEKCQkRFOnTlVJScntvxsAAODWGtlTePfu3YqLi9N9992nkpIS/eIXv9CgQYN07NgxNW7c2Fpu/PjxmjdvnvV1QECA9evS0lINGzZMYWFh2rdvnzIyMjRmzBh5e3vr9ddfd8BbAgAA7squ4LJlyxab12vWrFFISIhSU1P10EMPWdcHBAQoLCyswmN89tlnOnbsmLZv367Q0FBFR0dr/vz5mj59uubMmSMfH59avA0AANAQ3FYfl5ycHElScHCwzfr33ntPzZs31z333KPExERdu3bNui0lJUVdu3ZVaGiodV1MTIxyc3N19OjR26kOAABwc3a1uPxQWVmZJk+erPvvv1/33HOPdf0zzzyjNm3aKDw8XIcOHdL06dN14sQJbdiwQZKUmZlpE1okWV9nZmZWeK7CwkIVFhZaX+fm5ta22gAAwMBqHVzi4uJ05MgR7d2712b9hAkTrF937dpVLVu21MMPP6zTp0+rXbt2tTpXUlKS5s6dW9uqAgAAN1GrW0Xx8fHavHmzPv/8c7Vu3brKsr1795YknTp1SpIUFhamrKwsmzLlryvrF5OYmKicnBzrcvbs2dpUGwAAGJxdwcVisSg+Pl4bN27Uzp071bZt22r3SUtLkyS1bNlSkmQ2m3X48GFlZ2dby2zbtk0mk0ldunSp8Bi+vr4ymUw2CwAAaHjsulUUFxen5ORk/fWvf1XTpk2tfVICAwPl7++v06dPKzk5WUOHDlWzZs106NAhvfzyy3rooYfUrVs3SdKgQYPUpUsXjR49Wm+++aYyMzM1Y8YMxcXFydfX1/HvEAAAuA27WlxWrFihnJwc9evXTy1btrQu69evlyT5+Pho+/btGjRokKKiovTKK69oxIgR+uijj6zH8PLy0ubNm+Xl5SWz2axnn31WY8aMsZn3BQAAoCJ2tbhYLJYqt0dERGj37t3VHqdNmzb65JNP7Dk1AAAAzyoCAADGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGQXABAACGYVdwSUpK0n333aemTZsqJCREjz/+uE6cOGFTpqCgQHFxcWrWrJmaNGmiESNGKCsry6bMmTNnNGzYMAUEBCgkJERTp05VSUnJ7b8bAADg1uwKLrt371ZcXJz279+vbdu2qbi4WIMGDVJ+fr61zMsvv6yPPvpIH374oXbv3q3z58/rySeftG4vLS3VsGHDVFRUpH379mnt2rVas2aNZs2a5bh3BQAA3FIjewpv2bLF5vWaNWsUEhKi1NRUPfTQQ8rJydGqVauUnJysAQMGSJJWr16tzp07a//+/erTp48+++wzHTt2TNu3b1doaKiio6M1f/58TZ8+XXPmzJGPj4/j3h0AAHArt9XHJScnR5IUHBwsSUpNTVVxcbEGDhxoLRMVFaXIyEilpKRIklJSUtS1a1eFhoZay8TExCg3N1dHjx69neoAAAA3Z1eLyw+VlZVp8uTJuv/++3XPPfdIkjIzM+Xj46OgoCCbsqGhocrMzLSW+WFoKd9evq0ihYWFKiwstL7Ozc2tbbUBAICB1brFJS4uTkeOHNG6descWZ8KJSUlKTAw0LpERETU+TkBAIDrqVVwiY+P1+bNm/X555+rdevW1vVhYWEqKirSlStXbMpnZWUpLCzMWubmUUblr8vL3CwxMVE5OTnW5ezZs7WpNgAAMDi7govFYlF8fLw2btyonTt3qm3btjbbe/bsKW9vb+3YscO67sSJEzpz5ozMZrMkyWw26/Dhw8rOzraW2bZtm0wmk7p06VLheX19fWUymWwWAADQ8NjVxyUuLk7Jycn661//qqZNm1r7pAQGBsrf31+BgYEaN26cEhISFBwcLJPJpBdeeEFms1l9+vSRJA0aNEhdunTR6NGj9eabbyozM1MzZsxQXFycfH19Hf8OAQCA27AruKxYsUKS1K9fP5v1q1ev1tixYyVJCxculKenp0aMGKHCwkLFxMRo+fLl1rJeXl7avHmzJk2aJLPZrMaNGys2Nlbz5s27vXcCAADcnl3BxWKxVFvGz89Py5Yt07Jlyyot06ZNG33yySf2nBoAAIBnFQEAAOMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMMguAAAAMOwO7js2bNHw4cPV3h4uDw8PLRp0yab7WPHjpWHh4fNMnjwYJsyly5d0qhRo2QymRQUFKRx48YpLy/vtt4IAABwf3YHl/z8fHXv3l3Lli2rtMzgwYOVkZFhXd5//32b7aNGjdLRo0e1bds2bd68WXv27NGECRPsrz0AAGhQGtm7w5AhQzRkyJAqy/j6+iosLKzCbcePH9eWLVv0xRdf6N5775UkLV26VEOHDtWCBQsUHh5ub5UAAEADUSd9XHbt2qWQkBB16tRJkyZN0sWLF63bUlJSFBQUZA0tkjRw4EB5enrqwIEDFR6vsLBQubm5NgsAAGh4HB5cBg8erHfeeUc7duzQr3/9a+3evVtDhgxRaWmpJCkzM1MhISE2+zRq1EjBwcHKzMys8JhJSUkKDAy0LhEREY6uNgAAMAC7bxVVZ+TIkdavu3btqm7duqldu3batWuXHn744VodMzExUQkJCdbXubm5hBcAABqgOh8Ofdddd6l58+Y6deqUJCksLEzZ2dk2ZUpKSnTp0qVK+8X4+vrKZDLZLAAAoOGp8+Dy73//WxcvXlTLli0lSWazWVeuXFFqaqq1zM6dO1VWVqbevXvXdXUAAICB2X2rKC8vz9p6Iknp6elKS0tTcHCwgoODNXfuXI0YMUJhYWE6ffq0pk2bpvbt2ysmJkaS1LlzZw0ePFjjx4/XypUrVVxcrPj4eI0cOZIRRQAAoEp2t7h8+eWX6tGjh3r06CFJSkhIUI8ePTRr1ix5eXnp0KFD+vGPf6yOHTtq3Lhx6tmzp/7+97/L19fXeoz33ntPUVFRevjhhzV06FA98MAD+v3vf++4dwUAANyS3S0u/fr1k8ViqXT71q1bqz1GcHCwkpOT7T01AABo4HhWEQAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAyCCwAAMAy7g8uePXs0fPhwhYeHy8PDQ5s2bbLZbrFYNGvWLLVs2VL+/v4aOHCgTp48aVPm0qVLGjVqlEwmk4KCgjRu3Djl5eXd1hsBAADuz+7gkp+fr+7du2vZsmUVbn/zzTe1ZMkSrVy5UgcOHFDjxo0VExOjgoICa5lRo0bp6NGj2rZtmzZv3qw9e/ZowoQJtX8XAACgQWhk7w5DhgzRkCFDKtxmsVi0aNEizZgxQ4899pgk6Z133lFoaKg2bdqkkSNH6vjx49qyZYu++OIL3XvvvZKkpUuXaujQoVqwYIHCw8Nv4+0AAAB35tA+Lunp6crMzNTAgQOt6wIDA9W7d2+lpKRIklJSUhQUFGQNLZI0cOBAeXp66sCBAxUet7CwULm5uTYLAABoeBwaXDIzMyVJoaGhNutDQ0Ot2zIzMxUSEmKzvVGjRgoODraWuVlSUpICAwOtS0REhCOrDQAADMIQo4oSExOVk5NjXc6ePevsKgEAACdwaHAJCwuTJGVlZdmsz8rKsm4LCwtTdna2zfaSkhJdunTJWuZmvr6+MplMNgsAAGh4HBpc2rZtq7CwMO3YscO6Ljc3VwcOHJDZbJYkmc1mXblyRampqdYyO3fuVFlZmXr37u3I6gAAADdj96iivLw8nTp1yvo6PT1daWlpCg4OVmRkpCZPnqzXXntNHTp0UNu2bTVz5kyFh4fr8ccflyR17txZgwcP1vjx47Vy5UoVFxcrPj5eI0eOZEQRAACokt3B5csvv1T//v2trxMSEiRJsbGxWrNmjaZNm6b8/HxNmDBBV65c0QMPPKAtW7bIz8/Pus97772n+Ph4Pfzww/L09NSIESO0ZMkSB7wdAADgzuwOLv369ZPFYql0u4eHh+bNm6d58+ZVWiY4OFjJycn2nhoAADRwhhhVBAAAIBFcAACAgRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYRBcAACAYTRydgUAwBWcys67Zd0djX3UKsjfCbUBUBmCC4AG7Y7GPvL39tLk9Wm3bPP39tL2V/oSXgAXQnAB0KC1CvLX9lf66nJ+kc36U9l5mrw+TZfziwgugAshuABo8FoF+RNOAIMguABwW+euXLdpSamoHwsAYyG4AKhfV85K1y5WXSagmRQUcVunOXflugb+dreuF5farPf39tIdjX1u69gAnIfgAqD+XDkrLeslFV+rupx3gBR38LbCy+X8Il0vLtWip6LVPqSJdT0jhQBjI7gAqD/XLt4ILU/+QWreseIyF76RNoy/UfY2W10kqX1IE93TKvC2jwPANRBcANS/5h2l8GiHHpL+LEDDQHABYHj0ZwEaDoILAMOjPwvQcBBcALgN+rMA7o+HLAIAAMMguAAAAMMguAAAAMOgjwsAVKeeZvsFUD2CCwDHqe4D/sI3dXIuvwt5utsjXX4XAiWP/4wqckSY8M47J615uF5m+wVQPYILAMewZzr/gGbVH6+qkHPtgrR+tPVc7SV97CtpYwXnus0w4VVwqd5n+wVQOYILAMeoyXT+UvWtIAHNbgSODeOrPp93gPTsX6SA5jr1fZ5eWpemxSOj1b7F/7W4ODpM1MFsvwDsR3AB4Fi3+wEfFHGjlcSOPiUFlhwdteSooHlXKZx5XAB3RnAB4HqCIrjlAqBCDIcGAACG4fDgMmfOHHl4eNgsUVFR1u0FBQWKi4tTs2bN1KRJE40YMUJZWVmOrgYAAHBDddLicvfddysjI8O67N2717rt5Zdf1kcffaQPP/xQu3fv1vnz5/Xkk0/WRTUAAICbqZM+Lo0aNVJYWNgt63NycrRq1SolJydrwIABkqTVq1erc+fO2r9/v/r06VMX1QHclxtNjHbuynVdzi+yWcfTnQHcrE6Cy8mTJxUeHi4/Pz+ZzWYlJSUpMjJSqampKi4u1sCBA61lo6KiFBkZqZSUlEqDS2FhoQoLC62vc3Nz66LagLHYM2+Ki0+Mdu7KdQ387W5dLy61We/v7aWVo3uqWWMf6zqHh5lKwl/5pHa+V5pUsBMAZ3F4cOndu7fWrFmjTp06KSMjQ3PnztWDDz6oI0eOKDMzUz4+PgoKCrLZJzQ0VJmZmZUeMykpSXPnznV0VQFjq8m8KQaZGO1yfpGuF5dq0VPRah9yIyhczC/SxHdTFfungzZl/b29tP2Vvo4JL1WEP+ukdp+r5pPmAahzDg8uQ4YMsX7drVs39e7dW23atNEHH3wgf//a/aFJTExUQkKC9XVubq4iIlz3jzBQr9xoYrT2IU10T6v/zMOy/ZW+NrePTmXnafL6NF3OL3JMcKki/NlMatemjUsHP6AhqfN5XIKCgtSxY0edOnVKjzzyiIqKinTlyhWbVpesrKwK+8SU8/X1la+vb11XFYCLaRXkf/sBpapHB5RvqyD82UxqF8SkdoCrqPPgkpeXp9OnT2v06NHq2bOnvL29tWPHDo0YMUKSdOLECZ05c0Zms7muqwK4DjfqVOsMp7Lzqnwtyb5HB3AbCDAMhweXKVOmaPjw4WrTpo3Onz+v2bNny8vLS08//bQCAwM1btw4JSQkKDg4WCaTSS+88ILMZjMjitBw2NOp9ql3pYDmFW935JOWDeKOxj7y9/bS5PVpt2zz9/bSHT/oxFubRwcAcH0ODy7//ve/9fTTT+vixYtq0aKFHnjgAe3fv18tWrSQJC1cuFCenp4aMWKECgsLFRMTo+XLlzu6GoDrqkmn2vKnH/95RNXHamCtBa2C/G/p91KuwtFGrvbogJq0tNUEYQsNmMODy7p166rc7ufnp2XLlmnZsmWOPjVgLNV1qqW1oEIO6ffiDDVtaasJAwxxB+oKD1kEXFV9thZcOavs7PPKvV58yyaTv7dCmvg2yJBkt+o6AlfX0lbTcxhgiDtQVwguQEN35azK3r5PISXXFVJVuVr8l1/RbLiSG86Ia09H4EgzgQO4DQQXoCGopiXAs+S6Xir6bz3+yABFBP8nUJy9dF0LPjuhlYObKOLzl+z6L7+y2XAlB08i5wroCAzUG4IL4M5q2BJQ1shfXxREaXzHXmr/gwngCs7l6OjWIhXWYh6TimbDlf4zidwX6Zd0+f/WVzic2WhcrSMwqsaUBIZFcAHcWQ1bAk5e9dH51el1UoWbZ8OtbEjzLcOZgbriRs/5aogILoAbqfgJy83VKrzqP7zF53Ik1U1wuVllQ5qN0u+Fp1i7ATd6zldDRHAB3ERVT1h2tf4kRh3S7FLXuLoJCLnNUT03es5XQ0JwARytunvndTTjbUV9Shz+UMIGziWusT0jmKqaebn8WIQbGAzBBXAke+6d38aMtxXdrijv4HpznxI4nlOvcU36Ldkz87LR+nDQqbbBI7gAjlSTe+fSbf1hrW6YcZ12cK3Jk5ZR92oygqm6cGPEPhx0qoUILkDdqMN755UNM5bqrpNoqV8wT1o2Gnccnk2nWojgAvyHwZqg6/N2RXGTVkywBtdBp9oGjeACSA2uCfrmPjLVTQB3KjtPCjFJMkmquGXHesz8nBodE6hT3NZ0WwQXQLKvCfpMSuUtDwb4g1jVkN6b+8dUNVncD4f/2nNMoE7ZM+qK25qGRHABfqiqJmgD/0H8YevHqey8CvvIVNSKUtFkcRUN/62s3w0Ts6HeOfq5UY74Z4RbqA5FcEHD4Ii5VQz4IL2qWkzuaxtco1Bhz2Rx7jgU++bQV5NyEqHNqRzRMbmm/6jUhJvcYnYVBBfUDVfq6OrIuVUMNlLD6NPrO1NNn6lU09tpMJia/qNSHUY5ORzBBY7nah1d62FuFVdm1On1na2moa+mt9MMy5X+CalvBvtHpaEguMDxXHWuBYZQwk41DX1uGw5d7Z8QQAQX1CWCgkPYO3QZcBhX/ScEDRrBBa6tITdTy7WHGde00yrcAP+EwIUQXNyFO37A00ztksOMa9ppFbhZRQ8HrQidx1EVgos7cOQHfE0CUHUcNQkbzdRWrjTMmJFKqFA1v/eZJY018A+nK3w4aLlwXdAdHlfl18hTK0b3VEgTX7vOgYaB4OIOHPUBX9MAVBOOnISNZmqX47adUR2soltoLhfwbndq/BrOdxLSyF93FP9aSU8NvOXhoJLknXdOHT4cJ8+S6zdWJFdyIBec4BH1i+DiTmryAV/dH6maDBuuifq+LeUmzyWhI657qOx2muRC87vUYiboim/1mOT9/3bIq+DSf9b4e9u2llz4Rp4bxusOj6uVtx6eT5dKruts/8WauCVPi0dGq32LWwOO4W55w+EILg2FPX+kIs3G+cNg4Gn4b+bKHXFhn8pup7nU/C52zgRd2c9nRW4nnBUGtddRS44KmneVwl3j9ihcC8GloXDV6epvt6XEVd9XLbhiR1zUniFup9kxwVplP583qyqctfc4J78LhyWPCva/6fedRyigMgSXhsSVZoF0ZEuJK70vB3CljrjAzWr68/nD4OGd56N2Xv5a7LNc2ri88p28A9TkjlD5e+fxCAVUiuAC53CjlhIA/1FZ/55w/VotvfMrHi1ULqCZwoIitP2V1u77CIXKuOOUFnWE4ALncbOWEgCV9++RboSakNt4hMLtdFZ3+q2mqm59X7sgrR/doOessgfBBQBcUEUjeOrzw/d2Rrg5un9PVaO0asppt5rsuS3+7F+kgOYVb7dnzio3b70huBhBdT+EBhru2xBVNluo0/8DhMuqaoRZfXz4utoIt6pacWrCqbea6vu2eAOYcZzg4urs+SF08eG+DVFVQ0j9vb20cnRPNfu/DwLmbEG5ikbwVPXh6+jWGVcc4WaIUVqVqc/b4g1gxnGCi6uryQ+hZOhmP3dSUfN6RR8AF/OLNPHdVMX+6aDN/szZgh+qaATPzQG3/GepLlpnGOFmYG484zjBpS458j6jG/8Quouqmtfvaxt8ywcIz/tpuKprXavsUQFVzca79me9bFrvJq9P0xfpl3S5mhaTilpr3LX1j7lh3APBpa40gPuMsGVv87qhm75RK/Z0Mr259a260To//Fmq6gneP7w9WVlrTUXnN7Kqrofh5oaprk9jA+jz6NTgsmzZMv3mN79RZmamunfvrqVLl6pXr17OrNINjmgpsec+45mUys/XAH4IjaqyURc0r6My9nQyrSjw1jTsVnSeqm5P/rC1pqrzG1VF18Nwc8PUdHSSVPM+j9V9vrhoFwSnBZf169crISFBK1euVO/evbVo0SLFxMToxIkTCgkJcVa17GspeerdqoeuSVXf4nGj5+w0NK426gLGUV8tbRWdpyHfnrTnujt7KHqFajo6Sao+cNjz2eOCdwScFlzeeustjR8/Xs8995wkaeXKlfr444/1pz/9Sa+++qqzqlWzlpLyyYL+PKLqY1UXOJg91uXUdOiyK466AKrD7clb1Wdn59vmqNFJNfnsceGRR04JLkVFRUpNTVViYqJ1naenpwYOHKiUlJRbyhcWFqqwsND6OicnR5KUm5vr+MpdzZMKLZJvuNTkrorLNLlLGr1Dun6p4u3l/IMlz0Cpqnp6BkpNanBboS7eK2ycv3JdP357rwqKy27Z5uftqUUjeyg4wFuS9O33+SorvKYw/zJFNvX4Qcli5eYW11ONAdRWo9IC+ZQV6MV39t2yzc/bU8tv+n1/dcNhnc28oKaebnIbuLrPnvLPwqt5Dv38Kf/ctlgstT+IxQnOnTtnkWTZt2+fzfqpU6daevXqdUv52bNnWySxsLCwsLCwuMFy9uzZWmcIQ4wqSkxMVEJCgvV1WVmZLl26pGbNmsnDw6OKPY0tNzdXEREROnv2rEwmk7Or43K4PtXjGlWN61M1rk/VuD5Vq+j6WCwWXb16VeHh4bU+rlOCS/PmzeXl5aWsrCyb9VlZWQoLC7ulvK+vr3x9bZ8mGhQUVJdVdCkmk4lfiipwfarHNaoa16dqXJ+qcX2qdvP1CQwMvK3jed5uhWrDx8dHPXv21I4dO6zrysrKtGPHDpnNZmdUCQAAGIDTbhUlJCQoNjZW9957r3r16qVFixYpPz/fOsoIAADgZk4LLk899ZS+//57zZo1S5mZmYqOjtaWLVsUGhrqrCq5HF9fX82ePfuW22S4getTPa5R1bg+VeP6VI3rU7W6uj4eFsvtjEkCAACoP07p4wIAAFAbBBcAAGAYBBcAAGAYBBcAAGAYBBcnW7Zsme688075+fmpd+/eOnjwYKVl+/XrJw8Pj1uWYcOG1WON65c910eSFi1apE6dOsnf318RERF6+eWXVVBQUE+1rX/2XJ/i4mLNmzdP7dq1k5+fn7p3764tW7bUY23r1549ezR8+HCFh4fLw8NDmzZtqnafXbt26Uc/+pF8fX3Vvn17rVmzps7r6Sz2Xp+MjAw988wz6tixozw9PTV58uR6qaez2Ht9NmzYoEceeUQtWrSQyWSS2WzW1q1b66eyTmLvNdq7d6/uv/9+NWvWTP7+/oqKitLChQvtPi/BxYnWr1+vhIQEzZ49W//85z/VvXt3xcTEKDs7u8LyGzZsUEZGhnU5cuSIvLy89JOf/KSea14/7L0+ycnJevXVVzV79mwdP35cq1at0vr16/WLX/yinmteP+y9PjNmzNDvfvc7LV26VMeOHdPEiRP1xBNP6KuvvqrnmteP/Px8de/eXcuWLatR+fT0dA0bNkz9+/dXWlqaJk+erOeff95tP3zsvT6FhYVq0aKFZsyYoe7du9dx7ZzP3uuzZ88ePfLII/rkk0+Umpqq/v37a/jw4W77+yXZf40aN26s+Ph47dmzR8ePH9eMGTM0Y8YM/f73v7fvxLV+yhFuW69evSxxcXHW16WlpZbw8HBLUlJSjfZfuHChpWnTppa8vLy6qqJT2Xt94uLiLAMGDLBZl5CQYLn//vvrtJ7OYu/1admypeXtt9+2Wffkk09aRo0aVaf1dAWSLBs3bqyyzLRp0yx33323zbqnnnrKEhMTU4c1cw01uT4/1LdvX8tLL71UZ/VxNfZen3JdunSxzJ071/EVckG1vUZPPPGE5dlnn7VrH1pcnKSoqEipqakaOHCgdZ2np6cGDhyolJSUGh1j1apVGjlypBo3blxX1XSa2lyf//qv/1Jqaqr1dsm3336rTz75REOHDq2XOten2lyfwsJC+fn52azz9/fX3r1767SuRpGSkmJzPSUpJiamxr+PwA+VlZXp6tWrCg4OdnZVXNZXX32lffv2qW/fvnbtZ4inQ7ujCxcuqLS09JaZgkNDQ/Wvf/2r2v0PHjyoI0eOaNWqVXVVRaeqzfV55plndOHCBT3wwAOyWCwqKSnRxIkT3fJWUW2uT0xMjN566y099NBDateunXbs2KENGzaotLS0Pqrs8jIzMyu8nrm5ubp+/br8/f2dVDMY0YIFC5SXl6ef/vSnzq6Ky2ndurW+//57lZSUaM6cOXr++eft2p8WF4NatWqVunbtql69ejm7Ki5j165dev3117V8+XL985//1IYNG/Txxx9r/vz5zq6aS1i8eLE6dOigqKgo+fj4KD4+Xs8995w8PfkzADhScnKy5s6dqw8++EAhISHOro7L+fvf/64vv/xSK1eu1KJFi/T+++/btT8tLk7SvHlzeXl5KSsry2Z9VlaWwsLCqtw3Pz9f69at07x58+qyik5Vm+szc+ZMjR492preu3btqvz8fE2YMEG//OUv3eoDujbXp0WLFtq0aZMKCgp08eJFhYeH69VXX9Vdd91VH1V2eWFhYRVeT5PJRGsLamzdunV6/vnn9eGHH95y6xE3tG3bVtKNv9FZWVmaM2eOnn766Rrv7z5/yQ3Gx8dHPXv21I4dO6zrysrKtGPHDpnN5ir3/fDDD1VYWKhnn322rqvpNLW5PteuXbslnHh5eUmSLG72SK7b+fnx8/NTq1atVFJSor/85S967LHH6rq6hmA2m22upyRt27at2usJlHv//ff13HPP6f3333fraSocqaysTIWFhXbtQ4uLEyUkJCg2Nlb33nuvevXqpUWLFik/P1/PPfecJGnMmDFq1aqVkpKSbPZbtWqVHn/8cTVr1swZ1a439l6f4cOH66233lKPHj3Uu3dvnTp1SjNnztTw4cOtAcad2Ht9Dhw4oHPnzik6Olrnzp3TnDlzVFZWpmnTpjnzbdSZvLw8nTp1yvo6PT1daWlpCg4OVmRkpBITE3Xu3Dm98847kqSJEyfq7bff1rRp0/Szn/1MO3fu1AcffKCPP/7YWW+hTtl7fSQpLS3Nuu/333+vtLQ0+fj4qEuXLvVd/Tpn7/VJTk5WbGysFi9erN69eyszM1PSjQ7wgYGBTnkPdc3ea7Rs2TJFRkYqKipK0o0h5AsWLNCLL75o34ntHrsEh1q6dKklMjLS4uPjY+nVq5dl//791m19+/a1xMbG2pT/17/+ZZFk+eyzz+q5ps5hz/UpLi62zJkzx9KuXTuLn5+fJSIiwvLf//3flsuXL9d/xeuJPddn165dls6dO1t8fX0tzZo1s4wePdpy7tw5J9S6fnz++ecWSbcs5dckNjbW0rdv31v2iY6Otvj4+Fjuuusuy+rVq+u93vWlNtenovJt2rSp97rXB3uvT9++fass747svUZLliyx3H333ZaAgACLyWSy9OjRw7J8+XJLaWmpXef1sFjcrA0dAAC4Lfq4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAwyC4AAAAw/j/ie3U2R4627kAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00095 1.00079 and their SDs are 0.13455 0.0698\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 1965\n",
      "working on HD 1000 out of 1965\n",
      "working on HD 1500 out of 1965\n",
      "all done checking HD and complement contiguity for all 1965 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"underPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.08\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 268 units out of 1440 with usage above 1.02\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 38398\n",
      "current avg and SD of unit usage are 1.00079 0.0698 . Now trying to reduce up to 268 units' overusage\n",
      "starting to reduce usage for unit 238 with usage 1.18077 . Total units tried = 1\n",
      "try to drop unit 238 from 11 th HD.  usage down to 1.1352820997613993\n",
      "try to drop unit 238 from 22 th HD.  usage down to 1.0779832103473146\n",
      "try to drop unit 238 from 33 th HD.  usage down to 1.0430405756453134\n",
      "all done trying to reduce usage of unit 238 final usage = 1.01654 0 sec elapsed 32 3 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00078 0.06703\n",
      "starting to reduce usage for unit 127 with usage 1.16 . Total units tried = 2\n",
      "try to drop unit 127 from 11 th HD.  usage down to 1.104116941611301\n",
      "try to drop unit 127 from 22 th HD.  usage down to 1.0639723011096154\n",
      "try to drop unit 127 from 33 th HD.  usage down to 1.0205515037638715\n",
      "all done trying to reduce usage of unit 127 final usage = 1.01119 1 sec elapsed 23 6 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00077 0.06436\n",
      "starting to reduce usage for unit 132 with usage 1.16125 . Total units tried = 3\n",
      "try to drop unit 132 from 10 th HD.  usage down to 1.069966001408964\n",
      "all done trying to reduce usage of unit 132 final usage = 1.01488 2 sec elapsed 15 1 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00074 0.06213\n",
      "starting to reduce usage for unit 93 with usage 1.14467 . Total units tried = 4\n",
      "try to drop unit 93 from 14 th HD.  usage down to 1.0950007357030094\n",
      "try to drop unit 93 from 28 th HD.  usage down to 1.0624514143075943\n",
      "all done trying to reduce usage of unit 93 final usage = 1.01143 3 sec elapsed 22 17 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00071 0.05966\n",
      "starting to reduce usage for unit 854 with usage 1.13037 . Total units tried = 5\n",
      "try to drop unit 854 from 10 th HD.  usage down to 1.1252921652194152\n",
      "try to drop unit 854 from 20 th HD.  usage down to 1.0884770688553465\n",
      "try to drop unit 854 from 30 th HD.  usage down to 1.0715871521525449\n",
      "try to drop unit 854 from 40 th HD.  usage down to 1.0304945616578243\n",
      "all done trying to reduce usage of unit 854 final usage = 1.01812 6 sec elapsed 16 19 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00068 0.05779\n",
      "starting to reduce usage for unit 157 with usage 1.13169 . Total units tried = 6\n",
      "try to drop unit 157 from 8 th HD.  usage down to 1.1116901245226654\n",
      "try to drop unit 157 from 16 th HD.  usage down to 1.0975138448878323\n",
      "try to drop unit 157 from 24 th HD.  usage down to 1.0808465922630657\n",
      "try to drop unit 157 from 32 th HD.  usage down to 1.0434299122495738\n",
      "try to drop unit 157 from 40 th HD.  usage down to 1.0374674630488856\n",
      "all done trying to reduce usage of unit 157 final usage = 1.01825 7 sec elapsed 16 21 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00065 0.05598\n",
      "starting to reduce usage for unit 235 with usage 1.11892 . Total units tried = 7\n",
      "try to drop unit 235 from 7 th HD.  usage down to 1.0799272891104883\n",
      "try to drop unit 235 from 14 th HD.  usage down to 1.0741901082460568\n",
      "try to drop unit 235 from 21 th HD.  usage down to 1.0501970772410578\n",
      "all done trying to reduce usage of unit 235 final usage = 1.00835 9 sec elapsed 14 11 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00064 0.0541\n",
      "starting to reduce usage for unit 141 with usage 1.11575 . Total units tried = 8\n",
      "try to drop unit 141 from 8 th HD.  usage down to 1.0801525574467377\n",
      "try to drop unit 141 from 16 th HD.  usage down to 1.0706222744810594\n",
      "try to drop unit 141 from 24 th HD.  usage down to 1.0544797798881502\n",
      "try to drop unit 141 from 32 th HD.  usage down to 1.0403738152253283\n",
      "try to drop unit 141 from 40 th HD.  usage down to 1.0365377428634097\n",
      "all done trying to reduce usage of unit 141 final usage = 1.02398 10 sec elapsed 11 28 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00062 0.05264\n",
      "starting to reduce usage for unit 172 with usage 1.1102 . Total units tried = 9\n",
      "try to drop unit 172 from 12 th HD.  usage down to 1.1020569733572128\n",
      "try to drop unit 172 from 24 th HD.  usage down to 1.0948327610476658\n",
      "try to drop unit 172 from 36 th HD.  usage down to 1.056481152332254\n",
      "all done trying to reduce usage of unit 172 final usage = 1.01983 11 sec elapsed 14 28 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00061 0.05117\n",
      "starting to reduce usage for unit 241 with usage 1.10872 . Total units tried = 10\n",
      "try to drop unit 241 from 12 th HD.  usage down to 1.100580358944992\n",
      "try to drop unit 241 from 24 th HD.  usage down to 1.0590450445524258\n",
      "try to drop unit 241 from 36 th HD.  usage down to 1.0477516787700345\n",
      "all done trying to reduce usage of unit 241 final usage = 1.01574 12 sec elapsed 11 26 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.0006 0.04967\n",
      "starting to reduce usage for unit 193 with usage 1.1052 . Total units tried = 11\n",
      "try to drop unit 193 from 10 th HD.  usage down to 1.0610503233838187\n",
      "try to drop unit 193 from 20 th HD.  usage down to 1.031391728615509\n",
      "all done trying to reduce usage of unit 193 final usage = 1.01719 14 sec elapsed 11 9 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00059 0.04845\n",
      "starting to reduce usage for unit 125 with usage 1.10384 . Total units tried = 12\n",
      "try to drop unit 125 from 12 th HD.  usage down to 1.103839588110592\n",
      "try to drop unit 125 from 24 th HD.  usage down to 1.069403481632887\n",
      "try to drop unit 125 from 36 th HD.  usage down to 1.0559629049459462\n",
      "all done trying to reduce usage of unit 125 final usage = 1.01688 16 sec elapsed 11 25 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00061 0.04703\n",
      "starting to reduce usage for unit 109 with usage 1.09693 . Total units tried = 13\n",
      "try to drop unit 109 from 6 th HD.  usage down to 1.073847648289772\n",
      "try to drop unit 109 from 12 th HD.  usage down to 1.0571530509536653\n",
      "try to drop unit 109 from 18 th HD.  usage down to 1.0445692752219657\n",
      "try to drop unit 109 from 24 th HD.  usage down to 1.0266923446527905\n",
      "all done trying to reduce usage of unit 109 final usage = 1.01523 18 sec elapsed 9 17 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.0006 0.04569\n",
      "starting to reduce usage for unit 145 with usage 1.08866 . Total units tried = 14\n",
      "try to drop unit 145 from 14 th HD.  usage down to 1.0774154820547475\n",
      "try to drop unit 145 from 28 th HD.  usage down to 1.0664411379046261\n",
      "try to drop unit 145 from 42 th HD.  usage down to 1.0518442705668423\n",
      "try to drop unit 145 from 56 th HD.  usage down to 1.0347264812695625\n",
      "try to drop unit 145 from 70 th HD.  usage down to 1.0204916058247229\n",
      "all done trying to reduce usage of unit 145 final usage = 1.01751 21 sec elapsed 14 36 successful, failed patches, couldn't start= 22\n",
      "current avg and SD of usage are 1.00059 0.04451\n",
      "starting to reduce usage for unit 401 with usage 1.08612 . Total units tried = 15\n",
      "try to drop unit 401 from 10 th HD.  usage down to 1.0550735507629148\n",
      "try to drop unit 401 from 20 th HD.  usage down to 1.038326868262357\n",
      "all done trying to reduce usage of unit 401 final usage = 1.01867 22 sec elapsed 8 16 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00059 0.04369\n",
      "starting to reduce usage for unit 135 with usage 1.08489 . Total units tried = 16\n",
      "try to drop unit 135 from 7 th HD.  usage down to 1.0848949116701294\n",
      "try to drop unit 135 from 14 th HD.  usage down to 1.0848949116701294\n",
      "try to drop unit 135 from 21 th HD.  usage down to 1.0848949116701294\n",
      "try to drop unit 135 from 28 th HD.  usage down to 1.073387996713483\n",
      "try to drop unit 135 from 35 th HD.  usage down to 1.06466763805504\n",
      "all done trying to reduce usage of unit 135 final usage = 1.06467 23 sec elapsed 3 32 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00059 0.04333\n",
      "starting to reduce usage for unit 147 with usage 1.08495 . Total units tried = 17\n",
      "try to drop unit 147 from 8 th HD.  usage down to 1.0849509032219127\n",
      "try to drop unit 147 from 16 th HD.  usage down to 1.0482438835740833\n",
      "all done trying to reduce usage of unit 147 final usage = 1.014 26 sec elapsed 9 9 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00058 0.0424\n",
      "starting to reduce usage for unit 230 with usage 1.08343 . Total units tried = 18\n",
      "try to drop unit 230 from 7 th HD.  usage down to 1.0834313185490247\n",
      "try to drop unit 230 from 14 th HD.  usage down to 1.0663057164770757\n",
      "try to drop unit 230 from 21 th HD.  usage down to 1.0471891589939328\n",
      "try to drop unit 230 from 28 th HD.  usage down to 1.034062395422817\n",
      "all done trying to reduce usage of unit 230 final usage = 1.0199 31 sec elapsed 8 21 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00056 0.04149\n",
      "starting to reduce usage for unit 128 with usage 1.07407 . Total units tried = 19\n",
      "try to drop unit 128 from 10 th HD.  usage down to 1.0740716144969307\n",
      "try to drop unit 128 from 20 th HD.  usage down to 1.0609214126018114\n",
      "try to drop unit 128 from 30 th HD.  usage down to 1.0406889304702762\n",
      "try to drop unit 128 from 40 th HD.  usage down to 1.0220841097278794\n",
      "all done trying to reduce usage of unit 128 final usage = 1.01716 32 sec elapsed 10 24 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00057 0.04077\n",
      "starting to reduce usage for unit 214 with usage 1.07451 . Total units tried = 20\n",
      "try to drop unit 214 from 6 th HD.  usage down to 1.0377682548735965\n",
      "try to drop unit 214 from 12 th HD.  usage down to 1.0377682548735965\n",
      "try to drop unit 214 from 18 th HD.  usage down to 1.0377682548735965\n",
      "try to drop unit 214 from 24 th HD.  usage down to 1.032423014871669\n",
      "try to drop unit 214 from 30 th HD.  usage down to 1.032423014871669\n",
      "all done trying to reduce usage of unit 214 final usage = 1.01727 33 sec elapsed 6 26 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00056 0.04006\n",
      "starting to reduce usage for unit 164 with usage 1.0701 . Total units tried = 21\n",
      "try to drop unit 164 from 9 th HD.  usage down to 1.0391667415391563\n",
      "all done trying to reduce usage of unit 164 final usage = 1.01883 35 sec elapsed 8 9 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00056 0.0393\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  applies a suppression of LONG STRINGS.  run second for most states except MA\n",
    "maxSD = 0.04 #0.06  #0.08  #0.04\n",
    "stopMaxUse = 1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists)\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f90621-e7fc-4891-a5cd-69033c3c48e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#copy one of two above blocks and run again if needed (n/a for NC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa912158-e8e9-46f3-8c3d-f6b17c26e62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note - for MA, above is second run-through after overuse, then underuse pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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uevfurYiICGVmZqqqqqrB19lstkaP3VDdysrKFBQUpJycnDrhRpJat27tcP29geACAEA9OnTooAMHDtifl5aWKi8vz+njbN68WUlJSZKkI0eO6Pvvv1fPnj0lSf/4xz9044036s4775Qk1dbW6vvvv1evXr3srw8JCVFNTU2dY/bp00evv/66qqurG2x1OZt+/fqppqZGRUVFuuKKK+ot07NnT23ZsuWM9+JtdM4FAKAeV111ld5880199tln+vbbbzVmzJgzWiccMXPmTK1Zs0bbtm3T2LFj1b59e910002SpG7duumTTz7Rxo0btXPnTt13330qLCys8/pzzz1XW7Zs0Y8//qiDBw+qtrZWGRkZKi0t1ahRo/Tll19q9+7devPNN7Vr1y6H6tS9e3eNHj1ad999t5YtW6a8vDxt3bpVs2fP1sqVKyVJDz30kFatWqU5c+Zo9+7deumll7x+m0iixQUA4E0Hv/fZ80yePFl5eXm64YYbFBUVpVmzZjWpxeXZZ5/Vww8/rN27dys5OVl///vfFRISIkmaMmWKfvjhB6WlpSk8PFwTJkzQTTfdpJKSEvvrH3vsMY0ZM0a9evVSRUWF8vLydO6552rt2rV6/PHHlZqaqqCgICUnJ+uyyy5zuF6LFi3S008/rUcffVT5+flq3769Bg0apBtuuEGSNGjQIL366quaNm2annrqKQ0dOlRTpkzRrFmznL4GrhRgnX4DzwClpaWKiopSSUmJIiMjvV0dAH5mW36Jbpj/uVY8eLkuSog64zmcc+zYMeXl5alLly4KCws7sbEFzJy7bt06DRkyREeOHFF0dLRHzukL6v19/4srPr9pcQEAeF504okQwVpFcBLBBQDgHdGJBAk4jeACAIAbDB48+Izh1Gg+RhUBAABjEFwAAIAxCC4AAI/gtknL4O7fM8EFAOBWJ2d2PXrUg0Of4TUnf89NmdHXEXTOBQC4VVBQkKKjo+2LD4aHhysgIMDLtYKrWZalo0ePqqioSNHR0U2aZdgRBBcAgNvFxcVJ0hkrJ8P/REdH23/f7kBwAQC4XUBAgDp16qTY2NgzVliG/wgODnZbS8tJBBcAgMcEBQW5/YMN/o3OuQAAwBgEFwAAYAyCCwAAMAbBBQAAGIPOuQDgoD1FZfaf20aEKCHa5sXaAC0TwQUAGtE2IkS24CBlLs21b7MFB2n1o6mEF8DDCC4A0IiEaJtWP5qqI+VVkk60vGQuzdWR8iqCC+BhBBcAcEBCtI2QAvgAOucCAABjEFwAAIAxCC4AAMAYBBcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYAyCCwAAMAbBBQAAGIPgAgAAjEFwAQAAxiC4AAAAYzgVXGbPnq1LL71Ubdq0UWxsrG666Sbt2rWrTpljx44pPT1d7dq1U+vWrTVy5EgVFhbWKbNv3z4NHz5c4eHhio2N1eOPP67jx483/90AAAC/5lRwWb9+vdLT07V582Z98sknqq6u1rXXXqvy8nJ7mUceeUR///vf9d5772n9+vX6+eefdcstt9j319TUaPjw4aqqqtLGjRv1+uuvKzs7W0899ZTr3hUAAPBLrZwpvGrVqjrPs7OzFRsbq5ycHF155ZUqKSnRwoULtXjxYl111VWSpEWLFqlnz57avHmzBg0apI8//lg7duzQ6tWr1bFjRyUnJ2vWrFmaNGmSpk+frpCQENe9OwAA4Fea1celpKREkhQTEyNJysnJUXV1tYYOHWov06NHDyUlJWnTpk2SpE2bNql3797q2LGjvUxaWppKS0u1ffv2es9TWVmp0tLSOg8AANDyNDm41NbWKjMzU5dddpkuuugiSVJBQYFCQkIUHR1dp2zHjh1VUFBgL3NqaDm5/+S++syePVtRUVH2R2JiYlOrDQAADNbk4JKenq5t27ZpyZIlrqxPvSZPnqySkhL7Y//+/W4/JwAA8D1O9XE5KSMjQytWrNCGDRt0zjnn2LfHxcWpqqpKxcXFdVpdCgsLFRcXZy+zdevWOsc7OeroZJnThYaGKjQ0tClVBQAAfsSpFhfLspSRkaH3339fa9euVZcuXers79+/v4KDg7VmzRr7tl27dmnfvn1KSUmRJKWkpOjbb79VUVGRvcwnn3yiyMhI9erVqznvBQAA+DmnWlzS09O1ePFi/e1vf1ObNm3sfVKioqJks9kUFRWlcePGKSsrSzExMYqMjNSDDz6olJQUDRo0SJJ07bXXqlevXrrrrrv03HPPqaCgQFOmTFF6ejqtKgAAoEFOBZc//elPkqTBgwfX2b5o0SKNHTtWkvTCCy8oMDBQI0eOVGVlpdLS0vTyyy/bywYFBWnFihV64IEHlJKSooiICI0ZM0YzZ85s3jsBAAB+z6ngYllWo2XCwsK0YMECLViw4KxlOnfurA8//NCZUwMAALBWEQAAMAfBBQAAGIPgAgAAjEFwAQAAxiC4AAAAYxBcAACAMQguAADAGAQXAABgDIILAAAwBsEFAAAYg+ACAACMQXABAADGILgAAABjEFwAAIAxCC4AAMAYBBcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYAyCCwAAMAbBBQAAGIPgAgAAjEFwAQAAxiC4AAAAYxBcAACAMQguAADAGAQXAABgDIILAAAwBsEFAAAYg+ACAACMQXABAADGILgAAABjEFwAAIAxCC4AAMAYBBcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYAyCCwAAMAbBBQAAGIPgAgAAjEFwAQAAxiC4AAAAYxBcAACAMQguAADAGAQXAABgDIILAAAwBsEFAAAYg+ACAACMQXABAADGcDq4bNiwQSNGjFB8fLwCAgK0fPnyOvvHjh2rgICAOo9hw4bVKXP48GGNHj1akZGRio6O1rhx41RWVtasNwIAAPyf08GlvLxcffv21YIFC85aZtiwYTpw4ID98c4779TZP3r0aG3fvl2ffPKJVqxYoQ0bNmjChAnO1x4AALQorZx9wXXXXafrrruuwTKhoaGKi4urd9/OnTu1atUqffHFF7rkkkskSfPnz9f111+vOXPmKD4+3tkqAQCAFsItfVzWrVun2NhYXXDBBXrggQd06NAh+75NmzYpOjraHlokaejQoQoMDNSWLVvqPV5lZaVKS0vrPAAAQMvj8uAybNgwvfHGG1qzZo3++7//W+vXr9d1112nmpoaSVJBQYFiY2PrvKZVq1aKiYlRQUFBvcecPXu2oqKi7I/ExERXVxsAABjA6VtFjRk1apT95969e6tPnz46//zztW7dOl199dVNOubkyZOVlZVlf15aWkp4AQCgBXL7cOjzzjtP7du31549eyRJcXFxKioqqlPm+PHjOnz48Fn7xYSGhioyMrLOAwAAtDxuDy4//fSTDh06pE6dOkmSUlJSVFxcrJycHHuZtWvXqra2VgMHDnR3dQAAgMGcvlVUVlZmbz2RpLy8POXm5iomJkYxMTGaMWOGRo4cqbi4OO3du1cTJ05U165dlZaWJknq2bOnhg0bpvHjx+uVV15RdXW1MjIyNGrUKEYUAQCABjnd4vLll1+qX79+6tevnyQpKytL/fr101NPPaWgoCB98803+s1vfqPu3btr3Lhx6t+/vz777DOFhobaj/H222+rR48euvrqq3X99dfr8ssv11/+8hfXvSsAAOCXnG5xGTx4sCzLOuv+jz76qNFjxMTEaPHixc6eGgBcKr+4QkfKqyRJbSNClBBt83KNADTG5aOKAMAE+cUVGvrH9aqoPjFVgy04SKsfTSW8AD6ORRYBtEhHyqtUUV2jubcla+5tyaqorrG3vgDwXbS4AGjRusa29nYVADiBFhcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYAyCCwAAMAbBBQAAGIPgAgAAjEFwAQAAxiC4AAAAYxBcAACAMQguAADAGAQXAABgDIILAAAwBsEFAAAYg+ACAACMQXABAADGILgAAABjEFwAAIAxCC4AAMAYBBcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYAyCCwAAMAbBBQAAGIPgAgAAjEFwAQAAxiC4AAAAYxBcAACAMQguAADAGAQXAABgDIILAAAwBsEFAAAYg+ACAACMQXABAADGILgAAABjEFwAAIAxCC4AAMAYBBcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYAyng8uGDRs0YsQIxcfHKyAgQMuXL6+z37IsPfXUU+rUqZNsNpuGDh2q3bt31ylz+PBhjR49WpGRkYqOjta4ceNUVlbWrDcCAAD8n9PBpby8XH379tWCBQvq3f/cc8/pxRdf1CuvvKItW7YoIiJCaWlpOnbsmL3M6NGjtX37dn3yySdasWKFNmzYoAkTJjT9XQAAgBahlbMvuO6663TdddfVu8+yLM2dO1dTpkzRjTfeKEl644031LFjRy1fvlyjRo3Szp07tWrVKn3xxRe65JJLJEnz58/X9ddfrzlz5ig+Pr4ZbwcAAPgzl/ZxycvLU0FBgYYOHWrfFhUVpYEDB2rTpk2SpE2bNik6OtoeWiRp6NChCgwM1JYtW+o9bmVlpUpLS+s8AABAy+PS4FJQUCBJ6tixY53tHTt2tO8rKChQbGxsnf2tWrVSTEyMvczpZs+eraioKPsjMTHRldUGAACGMGJU0eTJk1VSUmJ/7N+/39tVAgAAXuDS4BIXFydJKiwsrLO9sLDQvi8uLk5FRUV19h8/flyHDx+2lzldaGioIiMj6zwAAEDL49Lg0qVLF8XFxWnNmjX2baWlpdqyZYtSUlIkSSkpKSouLlZOTo69zNq1a1VbW6uBAwe6sjoAAMDPOD2qqKysTHv27LE/z8vLU25urmJiYpSUlKTMzEw9/fTT6tatm7p06aKpU6cqPj5eN910kySpZ8+eGjZsmMaPH69XXnlF1dXVysjI0KhRoxhRBAAAGuR0cPnyyy81ZMgQ+/OsrCxJ0pgxY5Sdna2JEyeqvLxcEyZMUHFxsS6//HKtWrVKYWFh9te8/fbbysjI0NVXX63AwECNHDlSL774ogveDgAA8GdOB5fBgwfLsqyz7g8ICNDMmTM1c+bMs5aJiYnR4sWLnT01ADRLfnGFjpRXSZL2FDFbN2Aip4MLAJgov7hCQ/+4XhXVNfZttuAgtY0IsYcZAL6P4AKgRThSXqWK6hrNvS1ZXWNbS5LaRoQoIdpGcAEMQnAB0KJ0jW2tixKivF0NAE1kxAR0AAAAEsEFAAAYhOACAACMQXABAADGILgAAABjEFwAAIAxCC4AAMAYBBcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYAyCCwAAMAbBBQAAGIPgAgAAjEFwAQAAxiC4AAAAYxBcAACAMQguAADAGAQXAABgDIILAAAwBsEFAAAYg+ACAACMQXABAADGILgAAABjtPJ2BQC0MMX7paOHGi4T3k6KTvRMfQAYheACwHOK90sLBkjVRxsuFxwupW8lvAA4A8EFgOccPXQitNzyqtS+e/1lDn4vLRt/oizBBcBpCC4APK99dyk+2du1AGAgOucCAABjEFwAAIAxCC4AAMAY9HEBgCbaU1QmSWobEaKEaJuXawO0DAQXAHBS24gQ2YKDlLk0V5JkCw7S6kdTCS+ABxBcAMBJCdE2rX40VUfKq7SnqEyZS3N1pLyK4AJ4AMEFAJogIdpGUAG8gM65AADAGAQXAABgDIILAAAwBsEFAAAYg+ACAACMwagiAGhM8f4Tq1XXI+xgmS4MyFNwWRdJUZ6tF9ACEVwAuE4DH/CSpIPfe+5ckhTeTopObP55FgyQqo/Wu7urpJWhUu17Ninji+afD0CDCC4AXKORD3i74PATgcJT50rf2rwwcfTQifPc8qrUvvsZu/f8Uqb5S1dqnl4+UZbgArgVwQWAazTyAW/naCtIQ60zB79v/FwHv5eWjXddmGjfXYpPPmPzMatEe6zc5h8fgEMILgBc6ywf8A4Lb3eipWTZ+IbLBYdLSSm0cAAtDMEFgG+JTjxxe8cT/VcAGIfgAsD3RCcSSgDUi3lcAACAMQguAADAGAQXAABgDIILAAAwBsEFAAAYw+XBZfr06QoICKjz6NGjh33/sWPHlJ6ernbt2ql169YaOXKkCgsLXV0NAHDanqIybcsv0Z6iMm9XBcBZuGU49IUXXqjVq1f/+ySt/n2aRx55RCtXrtR7772nqKgoZWRk6JZbbtE//vEPd1QFABrVNiJEtuAgZS7NtW+zBQepbUSI1MiqAgA8yy3BpVWrVoqLiztje0lJiRYuXKjFixfrqquukiQtWrRIPXv21ObNmzVo0CB3VAfwX55aaNDPJUTbtPrRVB0pr7JvaxsRooRoG8EF8DFuCS67d+9WfHy8wsLClJKSotmzZyspKUk5OTmqrq7W0KFD7WV79OihpKQkbdq06azBpbKyUpWVlfbnpaWl7qg2YBZPLjToz/4V/hIkJQScsv3ovx6uXNEaQLO5PLgMHDhQ2dnZuuCCC3TgwAHNmDFDV1xxhbZt26aCggKFhIQoOjq6zms6duyogoKCsx5z9uzZmjFjhqurCpjNkUUNXb3QoL/x5IrWAFzC5cHluuuus//cp08fDRw4UJ07d9a7774rm83WpGNOnjxZWVlZ9uelpaVKTOSPMCCp+YsatmSuXtEagNu5fa2i6Ohode/eXXv27NE111yjqqoqFRcX12l1KSwsrLdPzEmhoaEKDQ11d1UBtFSEP8AYbp/HpaysTHv37lWnTp3Uv39/BQcHa82aNfb9u3bt0r59+5SSkuLuqgAAAMO5vMXlscce04gRI9S5c2f9/PPPmjZtmoKCgnT77bcrKipK48aNU1ZWlmJiYhQZGakHH3xQKSkpjCgC4B7/6lwbdrBMFwbkKexglBTQus4+AOZweXD56aefdPvtt+vQoUPq0KGDLr/8cm3evFkdOnSQJL3wwgsKDAzUyJEjVVlZqbS0NL388suurgbg2xjG7H7h7U50ql02XpLUVdLKUEnvn1aOjreAUVweXJYsWdLg/rCwMC1YsEALFixw9akBMzgzkuW2N6Xw9vXvp7WgYdGJJ4aB/ysg7vmlTA8vydW8Ucnq2qH1v8sREAGjuL1zLoDTODKS5ehBaeld0lsjGz4WrQUNi060h5JjVom2WyU61r63FB/l5YoBaCqCC+AtjY1kOaW14KxoLTCLI7cIHcHvHS0YwQXwVae0FsAPOHqL0BHMhowWjOACAJ7g6GR3jWE2ZLRwBBcAjHJylYY6TJ/cx2R3QLMQXICWjsUam+2I1Ua1rWwK/NfQ67OiMzXQbAQXoKVjscZm+1nttfu3a3VBm6qGC9JqBTQbwQVoCbiF4XbVrRMYZg14AMEF8GenzR57VtzCaLY9RWX2n9tGhCgh2ubF2qBR9OsyFsEF8GenzR57VvyBbrK2ESGyBQcpc2mufZstOEirH00lvPgq+nUZjeAC+Dvmg3GrhGibVj+aqiPlJ/q37CkqU+bSXB0pryK4+Cr6dRmN4AIAzZQQbSOkmIh+XUYK9HYFAAAAHEVwAQAAxuBWEQC/kV9cYe9rIvn56J6GhrhLdLiG3yK4AK7W2DDLxj5w0CT5xRUa+sf1qqiusW/zy9E9zgxxv+1NKbx9w8ci3MAwBBfAlZwZZsm8KS51pLxKFdU1mntbsrrGtvbf0T2ODHE/elBaepf01siGj2XicF/mX2nxCC6AKzm6AjB/WN2ma2xrXZTg5zPYOjLEvbFwY+JwX+ZfgQgugHv46zBLR5YO8LCT/VpOnbkW8s/5e5h/BSK4AHCEjy4dcHq/FltwkNpGhHjs/PASf/1iAIcQXAA0zkeXDji9X4tfjyICIIngAvwbnf4a5sO3Hkzr13LqsG3CFuAcggsg0ekPHlPf7S2/G7LtC3ywPxZcg+ACSHT6g8ecentLkn8O2fYmH+2PBdchuACncqTTH9/k3KqlzH7bNba1t6vgn3y0PxZch+ACOIpvcm7XYma/Pc2pQ7n9Nah5lCv7Y7niywghyaUILmgZXDENP9/k3ObUuVhcPfvtyVDgi/O8tI0IkS04SJlLc+3bWkJQM4KjX1QcQd84lyK4wP+5chp+Hx5ZY6r6Oqte2iWm2R/cZwsFvjTPS0K0TasfTbXfGvPbZQpM5OgXlcbQN87lCC5wD18aWsw0/D7NXXOxnB4KJN+8DZMQbfO5OuFf+KLikwgucD1fHVrMbJs+zR1zsfhKKDi1w7Ejt6x8qs+LL30JAURwgTswtBiwO1uH4/puWflcnxdf/RKCFo3gAvehhQNu4GzrhbedfitMOnsris/1eeFLCHwQwQWAxzU1fDjTeuFtp49mcvRWmK/c3qqDLyHwIQQX+Dbur/ud5oQPZ1ovvMWE0UyAyQgu8F3cX/dLrggfvryooimjmQBTEVzgu7i/7tecCR++PIlcfXzydg/gJwgu/sKfb6lwf91jGlonyBtrCHHbBcDpCC7+gFsqcIGG1gmS5JU1hLjtAuB0BBd/4MpbKo603DSGFZKNdHrfk1OH4kpyeg2hU1tomhM2uO1iiMb+3TvS4uuKNcXg9wgu/qS5t1QcbblxBCskG6uhvicN7Ts1qBwqr9L9b+bUWX+IhQN9VENhwJGg4Myq6Q21+LpyTTH4NYIL/s3RNX0cYWp/GjTJ2W4zvf67ATpSXsXCgb7ImcDRUFBwZDFCR1p8WVMMDiK4tDSOfLsysTNsc781+hFnOtE2dxbaU0f7nG2I87b8kjPKwgc4uvqxI0HBlYsRmvj3Bx5FcGkpXPXtytf46/tqooY62J4eXpozEdzZRvtc2iXmjPMwMsiHsfoxDERwaSlc+e3KlZrbUuKr78tLGupge3qgaM5EcM6M9mFkUPOdbKUy/rrRMgoXILi0JL707cqVLSW+9L58hDOTuzV1FlpnRvswMqhpTm+tMraTMy2jcCGCC7yDlhKP8ptv7C3Mqa1VXl8pujn49w4XIrjAe2gpcYmGOti64hs7nWm9y29aq/j33jB/nv3cxQgugMEa62DbnG/s9YUeOtQCbsDs504huAAGc6SDbVO/sZ/eqZbbTEAzNNYxmQVlHUZwAfxAUzvYNsZvblMA3uJMx+SkFNeEEj+/7URwAQDAXTzdMbkF3HYiuJiAhccAwFye7JjsykV3fRTBxdex8Bh05jT+JzV3mn4AfsqPl04guPg6Fh5r8eobOXSq5k7Tz0ghs5waOOkwjZaI4GIKP07PaFh9I4dO5Y5p+uF7zhY8jZxJF2gGgos7+XnPbniWK0YOMUrIXKcHT6Nn0gWageDiLi2gZzcAzyJ4otHBGC1gsAbBxV1aQM9uAICHODofjOT3gzUILu7mSN8UlnrHaRpafwhAC+TofDCS33dBILjUx1N9U1jqHfVobP0h4FSMMmpBXD0fTGNfjH00AHk1uCxYsEB/+MMfVFBQoL59+2r+/PkaMGCAN6vkXN+U296UwtvXv9+RlhKWevdrZ5t7pTF7isoaXX8IYJQRmsyZL80+2AfTa8Fl6dKlysrK0iuvvKKBAwdq7ty5SktL065duxQbG+utajnWN+XoQWnpXdJbIxs+liMtJSz17pcam3ulMbbgIF3aJYYPIJwVo4zQZI58afbhPpheCy7PP/+8xo8fr3vuuUeS9Morr2jlypX6n//5Hz3xxBPeqta/NdY3hZYSv3R6K8npLR0NtaKcWraxuVcaQwsLHOHMKKPG/t9GC2Pwl2avBJeqqirl5ORo8uTJ9m2BgYEaOnSoNm3adEb5yspKVVZW2p+XlJRIkkpLS11fuV/LpErrxH8bOn5glNTagTk13FFHuMXPxRX6zUuf61h1rX1bWHCg5o7qp5jwYB0+Wq3MJV/V2X+qU8v+8Eu5aiuPKs5Wq6Q2AU2oTbVKS6ub+E7QEpX9WqrayqP65ocDKvu17t+d+v7fDQsO1AcZlyue8IL6OPpZ6KSTn9uWZTX9IJYX5OfnW5KsjRs31tn++OOPWwMGDDij/LRp0yxJPHjw4MGDBw8/eOzfv7/JGcKIUUWTJ09WVlaW/Xltba0OHz6sdu3aKSCgKd9mzVBaWqrExETt379fkZGR3q6Oz+H6NI5r1DCuT8O4Pg3j+jSsvutjWZZ+/fVXxcfHN/m4Xgku7du3V1BQkAoLC+tsLywsVFxc3BnlQ0NDFRoaWmdbdHS0O6voUyIjI/lH0QCuT+O4Rg3j+jSM69Mwrk/DTr8+UVFRzTpeYHMr1BQhISHq37+/1qxZY99WW1urNWvWKCUlxRtVAgAABvDaraKsrCyNGTNGl1xyiQYMGKC5c+eqvLzcPsoIAADgdF4LLrfddpt++eUXPfXUUyooKFBycrJWrVqljh07eqtKPic0NFTTpk074zYZTuD6NI5r1DCuT8O4Pg3j+jTMXdcnwLKaMyYJAADAc7zSxwUAAKApCC4AAMAYBBcAAGAMggsAADAGwcXLFixYoHPPPVdhYWEaOHCgtm7detaygwcPVkBAwBmP4cOHe7DGnuXM9ZGkuXPn6oILLpDNZlNiYqIeeeQRHTt2zEO19Txnrk91dbVmzpyp888/X2FhYerbt69WrVrlwdp61oYNGzRixAjFx8crICBAy5cvb/Q169at08UXX6zQ0FB17dpV2dnZbq+ntzh7fQ4cOKA77rhD3bt3V2BgoDIzMz1ST29x9vosW7ZM11xzjTp06KDIyEilpKToo48+8kxlvcTZa/T555/rsssuU7t27WSz2dSjRw+98MILTp+X4OJFS5cuVVZWlqZNm6Z//vOf6tu3r9LS0lRUVFRv+WXLlunAgQP2x7Zt2xQUFKTf/va3Hq65Zzh7fRYvXqwnnnhC06ZN086dO7Vw4UItXbpUTz75pIdr7hnOXp8pU6boz3/+s+bPn68dO3bo/vvv180336yvvvrKwzX3jPLycvXt21cLFixwqHxeXp6GDx+uIUOGKDc3V5mZmbr33nv99sPH2etTWVmpDh06aMqUKerbt6+ba+d9zl6fDRs26JprrtGHH36onJwcDRkyRCNGjPDbf1+S89coIiJCGRkZ2rBhg3bu3KkpU6ZoypQp+stf/uLciZu8yhGabcCAAVZ6err9eU1NjRUfH2/Nnj3bode/8MILVps2bayysjJ3VdGrnL0+6enp1lVXXVVnW1ZWlnXZZZe5tZ7e4uz16dSpk/XSSy/V2XbLLbdYo0ePdms9fYEk6/3332+wzMSJE60LL7ywzrbbbrvNSktLc2PNfIMj1+dUqamp1sMPP+y2+vgaZ6/PSb169bJmzJjh+gr5oKZeo5tvvtm68847nXoNLS5eUlVVpZycHA0dOtS+LTAwUEOHDtWmTZscOsbChQs1atQoRUREuKuaXtOU6/Mf//EfysnJsd8u+eGHH/Thhx/q+uuv90idPakp16eyslJhYWF1ttlsNn3++eduraspNm3aVOd6SlJaWprD/x6BU9XW1urXX39VTEyMt6vis7766itt3LhRqampTr3OiNWh/dHBgwdVU1NzxkzBHTt21Hfffdfo67du3apt27Zp4cKF7qqiVzXl+txxxx06ePCgLr/8clmWpePHj+v+++/3y1tFTbk+aWlpev7553XllVfq/PPP15o1a7Rs2TLV1NR4oso+r6CgoN7rWVpaqoqKCtlsNi/VDCaaM2eOysrKdOutt3q7Kj7nnHPO0S+//KLjx49r+vTpuvfee516PS0uhlq4cKF69+6tAQMGeLsqPmPdunV65pln9PLLL+uf//ynli1bppUrV2rWrFnerppPmDdvnrp166YePXooJCREGRkZuueeexQYyJ8BwJUWL16sGTNm6N1331VsbKy3q+NzPvvsM3355Zd65ZVXNHfuXL3zzjtOvZ4WFy9p3769goKCVFhYWGd7YWGh4uLiGnxteXm5lixZopkzZ7qzil7VlOszdepU3XXXXfb03rt3b5WXl2vChAn6/e9/71cf0E25Ph06dNDy5ct17NgxHTp0SPHx8XriiSd03nnneaLKPi8uLq7e6xkZGUlrCxy2ZMkS3XvvvXrvvffOuPWIE7p06SLpxN/owsJCTZ8+XbfffrvDr/efv+SGCQkJUf/+/bVmzRr7ttraWq1Zs0YpKSkNvva9995TZWWl7rzzTndX02uacn2OHj16RjgJCgqSJFl+tiRXc/7/CQsLU0JCgo4fP66//vWvuvHGG91dXSOkpKTUuZ6S9MknnzR6PYGT3nnnHd1zzz165513/HqaCleqra1VZWWlU6+hxcWLsrKyNGbMGF1yySUaMGCA5s6dq/Lyct1zzz2SpLvvvlsJCQmaPXt2ndctXLhQN910k9q1a+eNanuMs9dnxIgRev7559WvXz8NHDhQe/bs0dSpUzVixAh7gPEnzl6fLVu2KD8/X8nJycrPz9f06dNVW1uriRMnevNtuE1ZWZn27Nljf56Xl6fc3FzFxMQoKSlJkydPVn5+vt544w1J0v3336+XXnpJEydO1O9+9zutXbtW7777rlauXOmtt+BWzl4fScrNzbW/9pdfflFubq5CQkLUq1cvT1ff7Zy9PosXL9aYMWM0b948DRw4UAUFBZJOdICPioryyntwN2ev0YIFC5SUlKQePXpIOjGEfM6cOXrooYecO7HTY5fgUvPnz7eSkpKskJAQa8CAAdbmzZvt+1JTU60xY8bUKf/dd99ZkqyPP/7YwzX1DmeuT3V1tTV9+nTr/PPPt8LCwqzExETrP//zP60jR454vuIe4sz1WbdundWzZ08rNDTUateunXXXXXdZ+fn5Xqi1Z3z66aeWpDMeJ6/JmDFjrNTU1DNek5ycbIWEhFjnnXeetWjRIo/X21Oacn3qK9+5c2eP190TnL0+qampDZb3R85eoxdffNG68MILrfDwcCsyMtLq16+f9fLLL1s1NTVOnTfAsvysDR0AAPgt+rgAAABjEFwAAIAxCC4AAMAYBBcAAGAMggsAADAGwQUAABiD4AIAAIxBcAEAAMYguAAAAGMQXAAAgDEILgAAwBgEFwAAYIz/D3pewMHHxjkkAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00095 1.00056 and their SDs are 0.13455 0.0393\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 1965\n",
      "working on HD 300 out of 1965\n",
      "working on HD 600 out of 1965\n",
      "working on HD 900 out of 1965\n",
      "working on HD 1200 out of 1965\n",
      "working on HD 1500 out of 1965\n",
      "working on HD 1800 out of 1965\n",
      "all done checking HD and complement contiguity for all 1965 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"fullyPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "26b87c95-101f-4f8f-bb73-feb1827ac6b5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    }
   ],
   "source": [
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))\n",
    "if noFrag == 1:\n",
    "    nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for v in range(nVTDs):\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(\"Uhoh,\",v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1965 1965 1965 1965 1965 1965\n"
     ]
    }
   ],
   "source": [
    "\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 1965\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "7 2 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that VTDs are represented 1.0 across all units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1918 6228 0.796583147971859 vtd no, its pop, and usage across all units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that VTDs are represented 1.0 across all units\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "plotVTDs, plotUses = list(), list()\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 0  and v not in allCutVTDs:\n",
    "        plotVTDs.append(v)\n",
    "        plotUses.append(vtdUSE[v])\n",
    "plt.scatter(plotVTDs, plotUses)\n",
    "plt.show()\n",
    "for i,v in enumerate(plotVTDs):\n",
    "    if plotUses[i] > 0.1 and plotUses[i] < 0.9 :\n",
    "        print(v,tractPop[v], plotUses[i],\"vtd no, its pop, and usage across all units\")\n",
    "        plotPoly(tractGeom[v])\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t, HDunit-based pop - pop from vtd-based HDs 13 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 14 1266.89\n",
      "t, HDunit-based pop - pop from vtd-based HDs 15 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 16 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 19 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 20 1266.858\n",
      "t, HDunit-based pop - pop from vtd-based HDs 39 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 110 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 111 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 112 1266.918\n",
      "t, HDunit-based pop - pop from vtd-based HDs 114 1266.906\n",
      "t, HDunit-based pop - pop from vtd-based HDs 115 1266.885\n",
      "t, HDunit-based pop - pop from vtd-based HDs 116 1266.868\n",
      "t, HDunit-based pop - pop from vtd-based HDs 117 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 118 1266.856\n",
      "t, HDunit-based pop - pop from vtd-based HDs 119 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 120 1266.872\n",
      "t, HDunit-based pop - pop from vtd-based HDs 124 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 125 1266.881\n",
      "t, HDunit-based pop - pop from vtd-based HDs 126 1266.881\n",
      "t, HDunit-based pop - pop from vtd-based HDs 127 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 129 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 131 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 132 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 133 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 134 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 135 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 136 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 137 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 138 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 139 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 140 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 141 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 142 1266.892\n",
      "t, HDunit-based pop - pop from vtd-based HDs 143 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 144 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 145 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 146 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 147 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 148 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 149 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 150 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 151 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 153 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 154 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 155 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 164 1266.875\n",
      "t, HDunit-based pop - pop from vtd-based HDs 173 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 181 1266.899\n",
      "t, HDunit-based pop - pop from vtd-based HDs 190 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 209 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 212 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 213 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 215 1266.86\n",
      "t, HDunit-based pop - pop from vtd-based HDs 216 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 217 1266.905\n",
      "t, HDunit-based pop - pop from vtd-based HDs 218 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 219 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 220 1266.872\n",
      "t, HDunit-based pop - pop from vtd-based HDs 221 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 222 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 223 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 224 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 226 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 227 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 228 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 229 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 239 1266.906\n",
      "t, HDunit-based pop - pop from vtd-based HDs 240 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 247 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 262 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 264 1266.875\n",
      "t, HDunit-based pop - pop from vtd-based HDs 265 1266.864\n",
      "t, HDunit-based pop - pop from vtd-based HDs 300 1266.881\n",
      "t, HDunit-based pop - pop from vtd-based HDs 302 1266.881\n",
      "t, HDunit-based pop - pop from vtd-based HDs 439 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 537 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 540 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 541 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 598 1266.888\n",
      "t, HDunit-based pop - pop from vtd-based HDs 599 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 604 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 621 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 669 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 670 1266.875\n",
      "t, HDunit-based pop - pop from vtd-based HDs 671 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 672 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 676 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 679 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 680 1266.87\n",
      "t, HDunit-based pop - pop from vtd-based HDs 681 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 763 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 767 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 768 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 769 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 770 1266.89\n",
      "t, HDunit-based pop - pop from vtd-based HDs 771 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 772 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 773 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 776 1266.858\n",
      "t, HDunit-based pop - pop from vtd-based HDs 777 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 778 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 780 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 781 1266.851\n",
      "t, HDunit-based pop - pop from vtd-based HDs 931 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 932 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 933 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 934 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 936 1266.89\n",
      "t, HDunit-based pop - pop from vtd-based HDs 938 1266.881\n",
      "t, HDunit-based pop - pop from vtd-based HDs 940 1266.887\n",
      "t, HDunit-based pop - pop from vtd-based HDs 941 1266.888\n",
      "t, HDunit-based pop - pop from vtd-based HDs 944 1266.888\n",
      "t, HDunit-based pop - pop from vtd-based HDs 952 1264.71\n",
      "t, HDunit-based pop - pop from vtd-based HDs 958 1264.716\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1002 1264.731\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1004 1266.897\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1005 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1006 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1007 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1008 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1017 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1019 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1020 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1022 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1023 1266.844\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1024 1266.869\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1025 1266.922\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1026 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1027 1266.892\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1028 1266.889\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1029 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1030 1266.874\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1031 1266.9\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1032 1266.864\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1033 1266.888\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1034 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1035 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1036 1266.896\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1037 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1038 1266.859\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1039 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1040 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1041 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1042 1266.873\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1044 1266.891\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1067 1266.888\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1070 1266.87\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1084 1266.888\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1104 1266.89\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1105 1264.716\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1106 1266.86\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1107 1264.716\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1109 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1110 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1111 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1156 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1644 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1663 1264.68\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1664 1266.839\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1666 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1667 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1668 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1669 1266.858\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1671 1266.854\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1672 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1673 1264.71\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1674 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1675 1266.843\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1676 1264.71\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1677 1264.71\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1678 1264.71\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1679 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1680 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1681 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1682 1266.874\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1683 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1684 1266.886\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1685 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1686 1264.711\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1687 1266.874\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1688 1264.705\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1689 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1690 1266.86\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1691 1266.855\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1692 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1693 1266.853\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1798 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1799 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1800 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1802 1266.895\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1803 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1805 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1806 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1828 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1829 1266.888\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1830 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1888 1266.906\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1889 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1890 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1891 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1892 1266.859\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1893 1266.879\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1894 1266.874\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1895 1266.874\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1896 1266.88\n",
      "t, HDunit-based pop - pop from vtd-based HDs 1897 1266.873\n",
      "Here are the HD centers with significant pop difference between unit-based and vtd-based HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()\n",
    "plotThis = False\n",
    "for t in popHDlist:  #seems like for TN, we lost a vtd in converting from unit-based to vtd-based\n",
    "    if abs(HDvPop[t] - HDvtdbasedPop[t]) > 10:\n",
    "        plotThis = True\n",
    "        print(\"t, HDunit-based pop - pop from vtd-based HDs\",t,r3(HDvPop[t] - HDvtdbasedPop[t]) )\n",
    "        plotPoly(tractCP[t].buffer(0.1))\n",
    "if plotThis:\n",
    "    plotPoly(MAP)\n",
    "    print(\"Here are the HD centers with significant pop difference between unit-based and vtd-based HD lists\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for TN\n",
      "In year/election 2020 Dem and GOP total votes were 1143683 1852424 for a stateGOP of 0.61828\n",
      "There are a total of 1965  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 870661 1522865 for a stateGOP of 0.63624\n",
      "There are a total of 1965  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for TN\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv TN1965patchedWithCutsVTDs.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 9\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 1967 drawn districts.  This state has 9 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of HD-drawn districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 1143683 1852424 708741\n",
      "ensemble : 1149353 1849669 700315\n",
      "the true and ensemble state GOP leans are 0.61828 0.6167573252274806\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 1967 1965 9\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
